research topics for stem students quantitative

Best 151+ Quantitative Research Topics for STEM Students

In today’s rapidly evolving world, STEM (Science, Technology, Engineering, and Mathematics) fields have gained immense significance. For STEM students, engaging in quantitative research is a pivotal aspect of their academic journey. Quantitative research involves the systematic collection and interpretation of numerical data to address research questions or test hypotheses. Choosing the right research topic is essential to ensure a successful and meaningful research endeavor.

In this blog, we will explore 151+ quantitative research topics for STEM students. Whether you are an aspiring scientist, engineer, or mathematician, this comprehensive list will inspire your research journey. But we understand that the journey through STEM education and research can be challenging at times. That’s why we’re here to support you every step of the way with our Engineering Assignment Help service.

What is Quantitative Research in STEM?

Table of Contents

Quantitative research is a scientific approach that relies on numerical data and statistical analysis to draw conclusions and make predictions. In STEM fields, quantitative research encompasses a wide range of methodologies, including experiments, surveys, and data analysis. The key characteristics of quantitative research in STEM include:

Data Collection: Systematic gathering of numerical data through experiments, observations, or surveys.
Statistical Analysis: Application of statistical techniques to analyze data and draw meaningful conclusions.
Hypothesis Testing: Testing hypotheses and theories using quantitative data.
Replicability: The ability to replicate experiments and obtain consistent results.
Generalizability: Drawing conclusions that can be applied to larger populations or phenomena.

Importance of Quantitative Research Topics for STEM Students

Quantitative research plays a pivotal role in STEM education and research for several reasons:

1. Empirical Evidence

It provides empirical evidence to support or refute scientific theories and hypotheses.

2. Data-Driven Decision-Making

STEM professionals use quantitative research to make informed decisions, from designing experiments to developing new technologies.

3. Innovation

It fuels innovation by providing data-driven insights that lead to the creation of new products, processes, and technologies.

4. Problem Solving

STEM students learn critical problem-solving skills through quantitative research, which are invaluable in their future careers.

5. Interdisciplinary Applications

Quantitative research transcends STEM disciplines, facilitating collaboration and the tackling of complex, real-world problems.

Also Read: Google Scholar Research Topics

Quantitative Research Topics for STEM Students

Now, let’s explore important quantitative research topics for STEM students:

Biology and Life Sciences

Here are some quantitative research topics in biology and life science:

1. The impact of climate change on biodiversity.

2. Analyzing the genetic basis of disease susceptibility.

3. Studying the effectiveness of vaccines in preventing infectious diseases.

4. Investigating the ecological consequences of invasive species.

5. Examining the role of genetics in aging.

6. Analyzing the effects of pollution on aquatic ecosystems.

7. Studying the evolution of antibiotic resistance.

8. Investigating the relationship between diet and lifespan.

9. Analyzing the impact of deforestation on wildlife.

10. Studying the genetics of cancer development.

11. Investigating the effectiveness of various plant fertilizers.

12. Analyzing the impact of microplastics on marine life.

13. Studying the genetics of human behavior.

14. Investigating the effects of pollution on plant growth.

15. Analyzing the microbiome’s role in human health.

16. Studying the impact of climate change on crop yields.

17. Investigating the genetics of rare diseases.

Let’s get started with some quantitative research topics for stem students in chemistry:

1. Studying the properties of superconductors at different temperatures.

2. Analyzing the efficiency of various catalysts in chemical reactions.

3. Investigating the synthesis of novel polymers with unique properties.

4. Studying the kinetics of chemical reactions.

5. Analyzing the environmental impact of chemical waste disposal.

6. Investigating the properties of nanomaterials for drug delivery.

7. Studying the behavior of nanoparticles in different solvents.

8. Analyzing the use of renewable energy sources in chemical processes.

9. Investigating the chemistry of atmospheric pollutants.

10. Studying the properties of graphene for electronic applications.

11. Analyzing the use of enzymes in industrial processes.

12. Investigating the chemistry of alternative fuels.

13. Studying the synthesis of pharmaceutical compounds.

14. Analyzing the properties of materials for battery technology.

15. Investigating the chemistry of natural products for drug discovery.

16. Analyzing the effects of chemical additives on food preservation.

17. Investigating the chemistry of carbon capture and utilization technologies.

Here are some quantitative research topics in physics for stem students:

1. Investigating the behavior of subatomic particles in high-energy collisions.

2. Analyzing the properties of dark matter and dark energy.

3. Studying the quantum properties of entangled particles.

4. Investigating the dynamics of black holes and their gravitational effects.

5. Analyzing the behavior of light in different mediums.

6. Studying the properties of superfluids at low temperatures.

7. Investigating the physics of renewable energy sources like solar cells.

8. Analyzing the properties of materials at extreme temperatures and pressures.

9. Studying the behavior of electromagnetic waves in various applications.

10. Investigating the physics of quantum computing.

11. Analyzing the properties of magnetic materials for data storage.

12. Studying the behavior of particles in plasma for fusion energy research.

13. Investigating the physics of nanoscale materials and devices.

14. Analyzing the properties of materials for use in semiconductors.

15. Studying the principles of thermodynamics in energy efficiency.

16. Investigating the physics of gravitational waves.

17. Analyzing the properties of materials for use in quantum technologies.

Engineering

Let’s explore some quantitative research topics for stem students in engineering:

1. Investigating the efficiency of renewable energy systems in urban environments.

2. Analyzing the impact of 3D printing on manufacturing processes.

3. Studying the structural integrity of materials in aerospace engineering.

4. Investigating the use of artificial intelligence in autonomous vehicles.

5. Analyzing the efficiency of water treatment processes in civil engineering.

6. Studying the impact of robotics in healthcare.

7. Investigating the optimization of supply chain logistics using quantitative methods.

8. Analyzing the energy efficiency of smart buildings.

9. Studying the effects of vibration on structural engineering.

10. Investigating the use of drones in agricultural practices.

11. Analyzing the impact of machine learning in predictive maintenance.

12. Studying the optimization of transportation networks.

13. Investigating the use of nanomaterials in electronic devices.

14. Analyzing the efficiency of renewable energy storage systems.

15. Studying the impact of AI-driven design in architecture.

16. Investigating the optimization of manufacturing processes using Industry 4.0 technologies.

17. Analyzing the use of robotics in underwater exploration.

Environmental Science

Here are some top quantitative research topics in environmental science for students:

1. Investigating the effects of air pollution on respiratory health.

2. Analyzing the impact of deforestation on climate change.

3. Studying the biodiversity of coral reefs and their conservation.

4. Investigating the use of remote sensing in monitoring deforestation.

5. Analyzing the effects of plastic pollution on marine ecosystems.

6. Studying the impact of climate change on glacier retreat.

7. Investigating the use of wetlands for water quality improvement.

8. Analyzing the effects of urbanization on local microclimates.

9. Studying the impact of oil spills on aquatic ecosystems.

10. Investigating the use of renewable energy in mitigating greenhouse gas emissions.

11. Analyzing the effects of soil erosion on agricultural productivity.

12. Studying the impact of invasive species on native ecosystems.

13. Investigating the use of bioremediation for soil cleanup.

14. Analyzing the effects of climate change on migratory bird patterns.

15. Studying the impact of land use changes on water resources.

16. Investigating the use of green infrastructure for urban stormwater management.

17. Analyzing the effects of noise pollution on wildlife behavior.

Computer Science

Let’s get started with some simple quantitative research topics for stem students:

1. Investigating the efficiency of machine learning algorithms for image recognition.

2. Analyzing the security of blockchain technology in financial transactions.

3. Studying the impact of quantum computing on cryptography.

4. Investigating the use of natural language processing in chatbots and virtual assistants.

5. Analyzing the effectiveness of cybersecurity measures in protecting sensitive data.

6. Studying the impact of algorithmic trading in financial markets.

7. Investigating the use of deep learning in autonomous robotics.

8. Analyzing the efficiency of data compression algorithms for large datasets.

9. Studying the impact of virtual reality in medical simulations.

10. Investigating the use of artificial intelligence in personalized medicine.

11. Analyzing the effectiveness of recommendation systems in e-commerce.

12. Studying the impact of cloud computing on data storage and processing.

13. Investigating the use of neural networks in predicting disease outbreaks.

14. Analyzing the efficiency of data mining techniques in customer behavior analysis.

15. Studying the impact of social media algorithms on user behavior.

16. Investigating the use of machine learning in natural language translation.

17. Analyzing the effectiveness of sentiment analysis in social media monitoring.

Mathematics

Let’s explore the quantitative research topics in mathematics for students:

1. Investigating the properties of prime numbers and their distribution.

2. Analyzing the behavior of chaotic systems using differential equations.

3. Studying the optimization of algorithms for solving complex mathematical problems.

4. Investigating the use of graph theory in network analysis.

5. Analyzing the properties of fractals in natural phenomena.

6. Studying the application of probability theory in risk assessment.

7. Investigating the use of numerical methods in solving partial differential equations.

8. Analyzing the properties of mathematical models for population dynamics.

9. Studying the optimization of algorithms for data compression.

10. Investigating the use of topology in data analysis.

11. Analyzing the behavior of mathematical models in financial markets.

12. Studying the application of game theory in strategic decision-making.

13. Investigating the use of mathematical modeling in epidemiology.

14. Analyzing the properties of algebraic structures in coding theory.

15. Studying the optimization of algorithms for image processing.

16. Investigating the use of number theory in cryptography.

17. Analyzing the behavior of mathematical models in climate prediction.

Earth Sciences

Here are some quantitative research topics for stem students in earth science:

1. Investigating the impact of volcanic eruptions on climate patterns.

2. Analyzing the behavior of earthquakes along tectonic plate boundaries.

3. Studying the geomorphology of river systems and erosion.

4. Investigating the use of remote sensing in monitoring wildfires.

5. Analyzing the effects of glacier melt on sea-level rise.

6. Studying the impact of ocean currents on weather patterns.

7. Investigating the use of geothermal energy in renewable power generation.

8. Analyzing the behavior of tsunamis and their destructive potential.

9. Studying the impact of soil erosion on agricultural productivity.

10. Investigating the use of geological data in mineral resource exploration.

11. Analyzing the effects of climate change on coastal erosion.

12. Studying the geomagnetic field and its role in navigation.

13. Investigating the use of radar technology in weather forecasting.

14. Analyzing the behavior of landslides and their triggers.

15. Studying the impact of groundwater depletion on aquifer systems.

16. Investigating the use of GIS (Geographic Information Systems) in land-use planning.

17. Analyzing the effects of urbanization on heat island formation.

Health Sciences and Medicine

Here are some quantitative research topics for stem students in health science and medicine:

1. Investigating the effectiveness of telemedicine in improving healthcare access.

2. Analyzing the impact of personalized medicine in cancer treatment.

3. Studying the epidemiology of infectious diseases and their spread.

4. Investigating the use of wearable devices in monitoring patient health.

5. Analyzing the effects of nutrition and exercise on metabolic health.

6. Studying the impact of genetics in predicting disease susceptibility.

7. Investigating the use of artificial intelligence in medical diagnosis.

8. Analyzing the behavior of pharmaceutical drugs in clinical trials.

9. Studying the effectiveness of mental health interventions in schools.

10. Investigating the use of gene editing technologies in treating genetic disorders.

11. Analyzing the properties of medical imaging techniques for early disease detection.

12. Studying the impact of vaccination campaigns on public health.

13. Investigating the use of regenerative medicine in tissue repair.

14. Analyzing the behavior of pathogens in antimicrobial resistance.

15. Studying the epidemiology of chronic diseases like diabetes and heart disease.

16. Investigating the use of bioinformatics in genomics research.

17. Analyzing the effects of environmental factors on health outcomes.

Quantitative research is the backbone of STEM fields, providing the tools and methodologies needed to explore, understand, and innovate in the world of science and technology . As STEM students, embracing quantitative research not only enhances your analytical skills but also equips you to address complex real-world challenges. With the extensive list of 155+ quantitative research topics for stem students provided in this blog, you have a starting point for your own STEM research journey. Whether you’re interested in biology, chemistry, physics, engineering, or any other STEM discipline, there’s a wealth of quantitative research topics waiting to be explored. So, roll up your sleeves, grab your lab coat or laptop, and embark on your quest for knowledge and discovery in the exciting world of STEM.

I hope you enjoyed this blog post about quantitative research topics for stem students.

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189+ Good Quantitative Research Topics For STEM Students

Quantitative research is an essential part of STEM (Science, Technology, Engineering, and Mathematics) fields. It involves collecting and analyzing numerical data to answer research questions and test hypotheses.

In 2023, STEM students have a wealth of exciting research opportunities in various disciplines. Whether you’re an undergraduate or graduate student, here are quantitative research topics to consider for your next project.

If you are looking for the best list of quantitative research topics for stem students, then you can check the given list in each field. It offers STEM students numerous opportunities to explore and contribute to their respective fields in 2023 and beyond.

Whether you’re interested in astrophysics, biology, engineering, mathematics, or any other STEM field.

Also Read: Most Exciting Qualitative Research Topics For Students

What Is Quantitative Research

Table of Contents

Quantitative research is a type of research that focuses on the organized collection, analysis, and evaluation of numerical data to answer research questions, test theories, and find trends or connections between factors. It is an organized, objective way to do study that uses measurable data and scientific methods to come to results.

Quantitative research is often used in many areas, such as the natural sciences, social sciences, economics, psychology, education, and market research. It gives useful information about patterns, trends, cause-and-effect relationships, and how often things happen. Quantitative tools are used by researchers to answer questions like “How many?” and “How often?” “Is there a significant difference?” or “What is the relationship between the variables?”

In comparison to quantitative research, qualitative research uses non-numerical data like conversations, notes, and open-ended surveys to understand and explore the ideas, experiences, and points of view of people or groups. Researchers often choose between quantitative and qualitative methods based on their research goals, questions, and the type of thing they are studying.

How To Choose Quantitative Research Topics For STEM

Here’s a step-by-step guide on how to choose quantitative research topics for STEM:

Step 1:- Identify Your Interests and Passions

Start by reflecting on your personal interests within STEM. What areas or subjects in STEM excite you the most? Choosing a topic you’re passionate about will keep you motivated throughout the research process.

Step 2:- Review Coursework and Textbooks

Look through your coursework, textbooks, and class notes. Identify concepts, theories, or areas that you found particularly intriguing or challenging. These can be a source of potential research topics.

Step 3:- Consult with Professors and Advisors

Discuss your research interests with professors, academic advisors, or mentors. They can provide valuable insights, suggest relevant topics, and guide you toward areas with research opportunities.

Step 4:- Read Recent Literature

Explore recent research articles, journals, and publications in STEM fields. This will help you identify current trends, gaps in knowledge, and areas where further research is needed.

Step 5:- Narrow Down Your Focus

Once you have a broad area of interest, narrow it down to a specific research focus. Consider questions like:

What specific problem or phenomenon do you want to investigate?
Are there unanswered questions or controversies in this area?
What impact could your research have on the field or society?

Step 6:- Consider Resources and Access

Assess the resources available to you, including access to laboratories, equipment, databases, and funding. Ensure that your chosen topic aligns with the resources you have or can access.

Step 7:- Think About Practicality

Consider the feasibility of conducting research on your chosen topic. Are the data readily available, or will you need to collect data yourself? Can you complete the research within your available time frame?

Step 8:- Define Your Research Question

Formulate a clear and specific research question or hypothesis. Your research question should guide your entire study and provide a focus for your data collection and analysis.

Step 9:- Conduct a Literature Review

Dive deeper into the existing literature related to your chosen topic. This will help you understand the current state of research, identify gaps, and refine your research question.

Step 10:- Consider the Impact

Think about the potential impact of your research. How does your topic contribute to the advancement of knowledge in your field? Does it have practical applications or implications for society?

Step 11:- Brainstorm Research Methods

Determine the quantitative research methods and data collection techniques you plan to use. Consider whether you’ll conduct experiments, surveys, data analysis, simulations, or use existing datasets.

Step 12:- Seek Feedback

Share your research topic and ideas with peers, advisors, or mentors. They can provide valuable feedback and help you refine your research focus.

Step 13:- Assess Ethical Considerations

Consider ethical implications related to your research, especially if it involves human subjects, sensitive data, or potential environmental impacts. Ensure that your research adheres to ethical guidelines.

Step 14:- Finalize Your Research Topic

Once you’ve gone through these steps, finalize your research topic. Write a clear and concise research proposal that outlines your research question, objectives, methods, and expected outcomes.

Step 15:- Stay Open to Adjustments

Be open to adjusting your research topic as you progress. Sometimes, new insights or challenges may lead you to refine or adapt your research focus.

Following are the most interesting quantitative research topics for stem students. These are given below.

Quantitative Research Topics In Physics and Astronomy

Quantum Computing Algorithms : Investigate new algorithms for quantum computers and their potential applications.
Dark Matter Detection Methods : Explore innovative approaches to detect dark matter particles.
Quantum Teleportation : Study the principles and applications of quantum teleportation.
Exoplanet Characterization : Analyze data from telescopes to characterize exoplanets.
Nuclear Fusion Modeling : Create mathematical models for nuclear fusion reactions.
Superconductivity at High Temperatures : Research the properties and applications of high-temperature superconductors.
Gravitational Wave Analysis : Analyze gravitational wave data to study astrophysical phenomena.
Black Hole Thermodynamics : Investigate the thermodynamics of black holes and their entropy.

Quantitative Research Topics In Biology and Life Sciences

Genome-Wide Association Studies (GWAS) : Conduct GWAS to identify genetic factors associated with diseases.
Pharmacokinetics and Pharmacodynamics : Study drug interactions in the human body.
Ecological Modeling : Model ecosystems to understand population dynamics.
Protein Folding : Research the kinetics and thermodynamics of protein folding.
Cancer Epidemiology : Analyze cancer incidence and risk factors in specific populations.
Neuroimaging Analysis : Develop algorithms for analyzing brain imaging data.
Evolutionary Genetics : Investigate evolutionary patterns using genetic data.
Stem Cell Differentiation : Study the factors influencing stem cell differentiation.

Engineering and Technology Quantitative Research Topics

Renewable Energy Efficiency : Optimize the efficiency of solar panels or wind turbines.
Aerodynamics of Drones : Analyze the aerodynamics of drone designs.
Autonomous Vehicle Safety : Evaluate safety measures for autonomous vehicles.
Machine Learning in Robotics : Implement machine learning algorithms for robot control.
Blockchain Scalability : Research methods to scale blockchain technology.
Quantum Computing Hardware : Design and test quantum computing hardware components.
IoT Security : Develop security protocols for the Internet of Things (IoT).
3D Printing Materials Analysis : Study the mechanical properties of 3D-printed materials.

Quantitative Research Topics In Mathematics and Statistics

Following are the best Quantitative Research Topics For STEM Students in mathematics and statistics.

Prime Number Distribution : Investigate the distribution of prime numbers.
Graph Theory Algorithms : Develop algorithms for solving graph theory problems.
Statistical Analysis of Financial Markets : Analyze financial data and market trends.
Number Theory Research : Explore unsolved problems in number theory.
Bayesian Machine Learning : Apply Bayesian methods to machine learning models.
Random Matrix Theory : Study the properties of random matrices in mathematics and physics.
Topological Data Analysis : Use topology to analyze complex data sets.
Quantum Algorithms for Optimization : Research quantum algorithms for optimization problems.

Experimental Quantitative Research Topics In Science and Earth Sciences

Climate Change Modeling : Develop climate models to predict future trends.
Biodiversity Conservation Analysis : Analyze data to support biodiversity conservation efforts.
Geographic Information Systems (GIS) : Apply GIS techniques to solve environmental problems.
Oceanography and Remote Sensing : Use satellite data for oceanographic research.
Air Quality Monitoring : Develop sensors and models for air quality assessment.
Hydrological Modeling : Study the movement and distribution of water resources.
Volcanic Activity Prediction : Predict volcanic eruptions using quantitative methods.
Seismology Data Analysis : Analyze seismic data to understand earthquake patterns.

Chemistry and Materials Science Quantitative Research Topics

Nanomaterial Synthesis and Characterization : Research the synthesis and properties of nanomaterials.
Chemoinformatics : Analyze chemical data for drug discovery and materials science.
Quantum Chemistry Simulations : Perform quantum simulations of chemical reactions.
Materials for Renewable Energy : Investigate materials for energy storage and conversion.
Catalysis Kinetics : Study the kinetics of chemical reactions catalyzed by materials.
Polymer Chemistry : Research the properties and applications of polymers.
Analytical Chemistry Techniques : Develop new analytical techniques for chemical analysis.
Sustainable Chemistry : Explore green chemistry approaches for sustainable materials.

Computer Science and Information Technology Topics

Natural Language Processing (NLP) : Work on NLP algorithms for language understanding.
Cybersecurity Analytics : Analyze cybersecurity threats and vulnerabilities.
Big Data Analytics : Apply quantitative methods to analyze large data sets.
Machine Learning Fairness : Investigate bias and fairness issues in machine learning models.
Human-Computer Interaction (HCI) : Study user behavior and interaction patterns.
Software Performance Optimization : Optimize software applications for performance.
Distributed Systems Analysis : Analyze the performance of distributed computing systems.
Bioinformatics Data Mining : Develop algorithms for mining biological data.

Good Quantitative Research Topics Students In Medicine and Healthcare

Clinical Trial Data Analysis : Analyze clinical trial data to evaluate treatment effectiveness.
Epidemiological Modeling : Model disease spread and intervention strategies.
Healthcare Data Analytics : Analyze healthcare data for patient outcomes and cost reduction.
Medical Imaging Algorithms : Develop algorithms for medical image analysis.
Genomic Medicine : Apply genomics to personalized medicine approaches.
Telemedicine Effectiveness : Study the effectiveness of telemedicine in healthcare delivery.
Health Informatics : Analyze electronic health records for insights into patient care.

Agriculture and Food Sciences Topics

Precision Agriculture : Use quantitative methods for optimizing crop production.
Food Safety Analysis : Analyze food safety data and quality control.
Aquaculture Sustainability : Research sustainable practices in aquaculture.
Crop Disease Modeling : Model the spread of diseases in agricultural crops.
Climate-Resilient Agriculture : Develop strategies for agriculture in changing climates.
Food Supply Chain Optimization : Optimize food supply chain logistics.
Soil Health Assessment : Analyze soil data for sustainable land management.

Social Sciences with Quantitative Approaches

Educational Data Mining : Analyze educational data for improving learning outcomes.
Sociodemographic Surveys : Study social trends and demographics using surveys.
Psychometrics : Develop and validate psychological measurement instruments.
Political Polling Analysis : Analyze political polling data and election trends.
Economic Modeling : Develop economic models for policy analysis.
Urban Planning Analytics : Analyze data for urban planning and infrastructure.
Climate Policy Evaluation : Evaluate the impact of climate policies on society.

Environmental Engineering Quantitative Research Topics

Water Quality Assessment : Analyze water quality data for environmental monitoring.
Waste Management Optimization : Optimize waste collection and recycling programs.
Environmental Impact Assessments : Evaluate the environmental impact of projects.
Air Pollution Modeling : Model the dispersion of air pollutants in urban areas.
Sustainable Building Design : Apply quantitative methods to sustainable architecture.

Quantitative Research Topics Robotics and Automation

Robotic Swarm Behavior : Study the behavior of robot swarms in different tasks.
Autonomous Drone Navigation : Develop algorithms for autonomous drone navigation.
Humanoid Robot Control : Implement control algorithms for humanoid robots.
Robotic Grasping and Manipulation : Study robotic manipulation techniques.
Reinforcement Learning for Robotics : Apply reinforcement learning to robotic control.

Quantitative Research Topics Materials Engineering

Additive Manufacturing Process Optimization : Optimize 3D printing processes.
Smart Materials for Aerospace : Research smart materials for aerospace applications.
Nanostructured Materials for Energy Storage : Investigate energy storage materials.
Corrosion Prevention : Develop corrosion-resistant materials and coatings.

Nuclear Engineering Quantitative Research Topics

Nuclear Reactor Safety Analysis : Study safety aspects of nuclear reactor designs.
Nuclear Fuel Cycle Analysis : Analyze the nuclear fuel cycle for efficiency.
Radiation Shielding Materials : Research materials for radiation protection.

Quantitative Research Topics In Biomedical Engineering

Medical Device Design and Testing : Develop and test medical devices.
Biomechanics Analysis : Analyze biomechanics in sports or rehabilitation.
Biomaterials for Medical Implants : Investigate materials for medical implants.

Good Quantitative Research Topics Chemical Engineering

Chemical Process Optimization : Optimize chemical manufacturing processes.
Industrial Pollution Control : Develop strategies for pollution control in industries.
Chemical Reaction Kinetics : Study the kinetics of chemical reactions in industries.

Best Quantitative Research Topics In Renewable Energy

Energy Storage Systems : Research and optimize energy storage solutions.
Solar Cell Efficiency : Improve the efficiency of photovoltaic cells.
Wind Turbine Performance Analysis : Analyze and optimize wind turbine designs.

Brilliant Quantitative Research Topics In Astronomy and Space Sciences

Astrophysical Simulations : Simulate astrophysical phenomena using numerical methods.
Spacecraft Trajectory Optimization : Optimize spacecraft trajectories for missions.
Exoplanet Detection Algorithms : Develop algorithms for exoplanet detection.

Quantitative Research Topics In Psychology and Cognitive Science

Cognitive Psychology Experiments : Conduct quantitative experiments in cognitive psychology.
Emotion Recognition Algorithms : Develop algorithms for emotion recognition in AI.
Neuropsychological Assessments : Create quantitative assessments for brain function.

Geology and Geological Engineering Quantitative Research Topics

Geological Data Analysis : Analyze geological data for mineral exploration.
Geological Hazard Prediction : Predict geological hazards using quantitative models.

Great Quantitative Research Topics In Cybersecurity

Network Intrusion Detection : Develop quantitative methods for intrusion detection.
Cryptocurrency Analysis : Analyze blockchain data and cryptocurrency trends.

Mathematical Biology Quantitative Research Topics

Epidemiological Modeling : Model disease spread and control in populations.
Population Genetics : Analyze genetic data to understand population dynamics.

Quantitative Research Topics In Chemical Analysis

Analytical Chemistry Methods : Develop quantitative methods for chemical analysis.
Spectroscopy Analysis : Analyze spectroscopic data for chemical identification.

Mathematics Education Quantitative Research Topics

Mathematics Curriculum Analysis : Analyze curriculum effectiveness in mathematics education.
Mathematics Assessment Development : Develop quantitative assessments for mathematics skills.

Quantitative Research Topics In Social Research

Social Network Analysis : Analyze social network structures and dynamics.
Survey Research : Conduct quantitative surveys on social issues and trends.

Quantitative Research Topics In Computational Neuroscience

Neural Network Modeling : Model neural networks and brain functions computationally.
Brain Connectivity Analysis : Analyze functional and structural brain connectivity.

Best Topics In Transportation Engineering

Traffic Flow Modeling : Model and optimize traffic flow in urban areas.
Public Transportation Efficiency : Analyze the efficiency of public transportation systems.

Good Quantitative Research Topics In Energy Economics

Energy Policy Analysis : Evaluate the economic impact of energy policies.
Renewable Energy Cost-Benefit Analysis : Assess the economic viability of renewable energy projects.

Quantum Information Science

Quantum Cryptography Protocols : Develop and analyze quantum cryptography protocols.
Quantum Key Distribution : Study the security of quantum key distribution systems.

Human Genetics

Genome Editing Ethics : Investigate ethical issues in genome editing technologies.
Population Genomics : Analyze genomic data for population genetics research.

Marine Biology

Coral Reef Health Assessment : Quantitatively assess the health of coral reefs.
Marine Ecosystem Modeling : Model marine ecosystems and biodiversity.

Data Science and Machine Learning

Machine Learning Explainability : Develop methods for explaining machine learning models.
Data Privacy in Machine Learning : Study privacy issues in machine learning applications.
Deep Learning for Image Analysis : Develop deep learning models for image recognition.

Environmental Engineering

Robotics and automation, materials engineering, nuclear engineering, biomedical engineering, chemical engineering, renewable energy, astronomy and space sciences, psychology and cognitive science, geology and geological engineering, forensic science, cybersecurity, mathematical biology, chemical analysis, mathematics education, quantitative social research, computational neuroscience, quantitative research topics in transportation engineering, quantitative research topics in energy economics, topics in quantum information science, amazing quantitative research topics in human genetics, quantitative research topics in marine biology, what is a common goal of qualitative and quantitative research.

A common goal of both qualitative and quantitative research is to generate knowledge and gain a deeper understanding of a particular phenomenon or topic. However, they approach this goal in different ways:

1. Understanding a Phenomenon

Both types of research aim to understand and explain a specific phenomenon, whether it’s a social issue, a natural process, a human behavior, or a complex event.

2. Testing Hypotheses

Both qualitative and quantitative research can involve hypothesis testing. While qualitative research may not use statistical hypothesis tests in the same way as quantitative research, it often tests hypotheses or research questions by examining patterns and themes in the data.

3. Contributing to Knowledge

Researchers in both approaches seek to contribute to the body of knowledge in their respective fields. They aim to answer important questions, address gaps in existing knowledge, and provide insights that can inform theory, practice, or policy.

4. Informing Decision-Making

Research findings from both qualitative and quantitative studies can be used to inform decision-making in various domains, whether it’s in academia, government, industry, healthcare, or social services.

5. Enhancing Understanding

Both approaches strive to enhance our understanding of complex phenomena by systematically collecting and analyzing data. They aim to provide evidence-based explanations and insights.

6. Application

Research findings from both qualitative and quantitative studies can be applied to practical situations. For example, the results of a quantitative study on the effectiveness of a new drug can inform medical treatment decisions, while qualitative research on customer preferences can guide marketing strategies.

7. Contributing to Theory

In academia, both types of research contribute to the development and refinement of theories in various disciplines. Quantitative research may provide empirical evidence to support or challenge existing theories, while qualitative research may generate new theoretical frameworks or perspectives.

Conclusion – Quantitative Research Topics For STEM Students

So, selecting a quantitative research topic for STEM students is a pivotal decision that can shape the trajectory of your academic and professional journey. The process involves a thoughtful exploration of your interests, a thorough review of the existing literature, consideration of available resources, and the formulation of a clear and specific research question.

Your chosen topic should resonate with your passions, align with your academic or career goals, and offer the potential to contribute to the body of knowledge in your STEM field. Whether you’re delving into physics, biology, engineering, mathematics, or any other STEM discipline, the right research topic can spark curiosity, drive innovation, and lead to valuable insights.

Moreover, quantitative research in STEM not only expands the boundaries of human knowledge but also has the power to address real-world challenges, improve technology, and enhance our understanding of the natural world. It is a journey that demands dedication, intellectual rigor, and an unwavering commitment to scientific inquiry.

What is quantitative research in STEM?

Quantitative research in this context is designed to improve our understanding of the science system’s workings, structural dependencies and dynamics.

What are good examples of quantitative research?

Surveys and questionnaires serve as common examples of quantitative research. They involve collecting data from many respondents and analyzing the results to identify trends, patterns

What are the 4 C’s in STEM?

They became known as the “Four Cs” — critical thinking, communication, collaboration, and creativity.

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Experimental Quantitative Research Topics For Stem Students

1. impact of variable x on y: examine how changes in x affect y using controlled experiments., 2. algorithm efficiency in different conditions: test algorithm performance under varying data loads., 3. material strength under stress: measure how different materials withstand stress and strain., 4. effects of temperature on reaction rates: analyze how temperature variations influence chemical reactions., 5. simulation of particle dynamics: study how particles interact in different simulated environments., 6. energy consumption of renewable sources: compare energy output and efficiency from various renewables., growth rates of plants with different nutrients: investigate how plant growth varies with nutrient types., 8. accuracy of machine learning models: assess how well different models predict outcomes using real data., discover more stories.

189+ Experimental Quantitative Research Topics For STEM Students

Are you looking for incredible experimental quantitative research topics for STEM students? Then you are in the right place. Here, we’ll explore the fantastic experimental research topics for STEM students and others you want to learn. That will help you to increase your knowledge in your field.

Experimental quantitative research plays a pivotal role in STEM. These students explore a broad range of multidisciplinary experimental quantitative research subjects. STEM students take on challenges that push the boundaries of knowledge, whether by studying the complexities of ecological systems, creating novel technologies, delving into the workings of the human brain, or investigating the subtleties of subatomic particles.

Before jumping to our main topic, experimental quantitative research topics for STEM students. Let’s learn about what STEM is.

What Is STEM?

STEM is an acronym that stands for Science, Technology, Engineering, and Mathematics. It is an interdisciplinary approach to learning and problem-solving that combines these four main areas. Scientists, technicians, engineers, and mathematicians collaborate to address challenging real-world challenges and generate novel solutions in the STEM fields.

Let’s know about how to do experimental research. Before starting the experimental quantitative research topics for STEM students.

How To Do Experimental Research

Here are 8 key points on how to do experimental research effectively.

1. Clear Research Focus

Begin by defining a clear and focused research question. A well-defined question provides a purpose and direction for your experiment, guiding your choices in variables and methodology.

2. Thorough Literature Review

Conduct a comprehensive literature review to understand the existing knowledge in your field. This step helps you identify gaps in research and ensures your experiment contributes meaningfully to the scientific community.

3. Precise Variable Definition

Carefully define the variables you will manipulate (independent variable) and measure (dependent variable). Precise definitions are crucial for the validity of your experiment, ensuring you measure what you intend to study.

Also read: 199+ Quantitative Research Topics For STEM Students to Try Now

4. Randomization and Control

Use randomization to assign participants randomly to experimental and control groups. Control all other variables that might influence the outcome, creating a controlled environment. This minimizes biases and enhances the reliability of your results.

5. Standardized Procedures

Develop standardized procedures for conducting the experiment. Consistency in methods across participants and groups is essential to ensure that any observed effects are due to the manipulated variables and not external factors.

6. Accurate Data Collection

Employ accurate and reliable methods to collect data. Be meticulous in recording observations and measurements. Utilize appropriate tools and technologies to minimize errors and enhance the precision of your data.

7. Thorough Data Analysis

Use appropriate statistical techniques to analyze the collected data. Statistical analysis helps you identify patterns, relationships, and significant differences between groups. Proper analysis is key to drawing valid conclusions from your experiment.

8. Clear Communication of Results

Effectively communicate your research findings through clear and concise writing. Present your results, methods, and conclusions in a structured manner, adhering to the standards of scientific reporting. Transparent communication ensures that others can understand, evaluate, and build upon your research.

By following these 8 points, you can conduct experimental research in a systematic, reliable, and impactful manner, leading to valuable contributions to your field of study. Now, let’s move to the main topic, experimental quantitative research topics for STEM students.

Experimental Quantitative Research Topics For STEM Students

Certainly, there are more than 189+ experimental quantitative research topics for STEM students, categorized into different fields:

Biology and Life Sciences

Effects of Different Fertilizers on Plant Growth
Impact of Light Intensity on Photosynthesis
Influence of Temperature on Enzyme Activity
Relationship Between Diet and Animal Behavior
Efficacy of Antibiotics on Bacterial Cultures
Effects of Microplastics on Aquatic Ecosystems
Impact of pH Levels on Microbial Growth
The Role of Genetics in Disease Susceptibility
Influence of Pollution on Soil Microbes
The Effect of Radiation on Cellular DNA

Chemistry and Chemical Engineering

Kinetics of Chemical Reactions at Various Temperatures
Efficiency of Various Catalysts in Chemical Processes
Influence of pH on Chemical Equilibrium
Study of Electrochemical Cells and Voltage
Impact of Different Solvents on Reaction Rates
Properties of Various Polymers in Material Science
Effects of Different Oxidizing Agents on Reactions
The Relationship Between Pressure and Gas Behavior
The Influence of Concentration on Reaction Rate
The Efficacy of Water Purification Methods

Physics and Engineering

The Impact of Different Materials on Magnet Strength
Efficiency of Wind Turbines at Different Wind Speeds
Influence of Friction on Motion and Speed
Relationship Between Light Wavelengths and Energy
Effects of Different Insulation Materials on Heat Transfer
Impact of Material Properties on Bridge Strength
Efficiency of Solar Panels in Different Light Conditions
Influence of Temperature on Electrical Conductivity
Study of Fluid Dynamics in Various Geometries
The Role of Geometric Shapes in Sound Resonance

Environmental Science

Effects of Land Use on Local Climate Patterns
Influence of Air Pollution on Plant Health
Impact of Climate Change on Ocean Acidification
The Relationship Between Soil Erosion and Agricultural Productivity
Efficacy of Biodegradable Materials in Reducing Plastic Pollution
Study of Water Quality Parameters in Urban vs. Rural Areas
Effects of Renewable Energy Sources on Carbon Footprint
Influence of Pesticides on Honeybee Population Decline
Impact of Soil Contaminants on Groundwater Quality
The Role of Algae in Wastewater Treatment

Computer Science and Technology

Effects of Algorithm Complexity on Execution Time
Influence of Data Structures on Software Performance
Impact of Different Programming Languages on Code Efficiency
The Relationship Between Internet Speed and User Experience
Efficacy of Different Machine Learning Models in Data Analysis
Effects of Cybersecurity Measures on Network Vulnerabilities
Influence of Mobile App Features on User Engagement
Impact of Virtual Reality in Education on Learning Outcomes
The Use of Nanomaterials in Data Storage Devices
The Role of Artificial Intelligence in Natural Language Processing

Mathematics and Statistics

Effects of Teaching Methods on Math Skill Acquisition
Influence of Classroom Size on Student Performance
Impact of Tutoring Programs on Math Proficiency
The Relationship Between Homework and Test Scores
Efficacy of Different Teaching Strategies in Probability Education
Effects of Math Anxiety on Test Performance
Influence of Gender on Mathematical Problem-Solving
Impact of Early Math Education on Later Achievement
The Role of Game-Based Learning in Mathematics
The Use of Data Visualization in Statistical Analysis

Medicine and Healthcare

Effects of Medication on Heart Rate Variability
Influence of Different Therapies on Pain Management
Impact of Sleep Duration on Cognitive Performance
The Relationship Between Diet and Weight Loss
Efficacy of Telemedicine in Remote Healthcare Delivery
Effects of Telehealth on Patient Engagement
Influence of Lifestyle on Blood Pressure
Impact of Exercise on Stress Reduction
The Role of Telemedicine in Mental Health Support
The Use of Wearable Health Devices in Disease Monitoring

Materials Science and Nanotechnology

Effects of Nanomaterials on Solar Cell Efficiency
Influence of Nanoparticles on Drug Delivery
Impact of Nanotechnology on Water Filtration
The Relationship Between Nanomaterial Size and Strength
Efficacy of Nanoparticles in Targeted Cancer Therapy
Effects of Nanotechnology on Wearable Electronics
Influence of Nanomaterials in Energy Storage
Impact of Nanomaterials on Sensor Technologies
The Role of Nanomaterials in Environmental Remediation
The Use of Nanotechnology in Biomedical Imaging

Astronomy and Space Science

Effects of Stellar Types on Planetary Formation
Influence of Dark Matter on Galactic Dynamics
Impact of Solar Activity on Earth’s Climate
The Relationship Between Asteroids and Space Weather
Efficacy of Space Telescopes in Exoplanet Discovery
Effects of Cosmic Radiation on Space Travelers
Influence of Gravitational Waves on Black Hole Research
Impact of Satellite Data on Weather Prediction
The Role of Telescopes in Exoplanet Characterization
The Use of Space Probes in Solar System Exploration

Geology and Earth Sciences

Effects of Plate Tectonics on Earthquakes
Influence of Rock Types on Coastal Erosion
Impact of Soil Composition on Landslide Risk
The Relationship Between Geothermal Activity and Volcanic Eruptions
Efficacy of Geological Maps in Hazard Prediction
Effects of Climate Change on Glacier Movement
Influence of Seismic Waves on Building Resilience
Impact of Mineral Properties on Geological Exploration
The Role of Ground-Penetrating Radar in Archaeological Surveys
The Use of LiDAR in Topographic Mapping

Social Sciences

Effects of Social Media Use on Mental Health
Influence of Parenting Styles on Child Behavior
Impact of Education Levels on Income Disparities
The Relationship Between Income and Job Satisfaction
Efficacy of Diversity Training in Workplace Inclusion
Effects of Media Violence on Aggressive Behavior
Influence of Music on Stress Reduction
Impact of Family Structure on Child Development
The Role of Gender Stereotypes in Career Choices
The Use of Virtual Reality in Empathy Training

Economics and Finance

Effects of Fiscal Policy Changes on Economic Growth
Influence of Interest Rates on Investment Decisions
Impact of Inflation on Consumer Spending
The Relationship Between Stock Market Volatility and Investor Behavior
Efficacy of Financial Education on Saving Habits
Effects of Tax Policies on Small Business Growth
Influence of Exchange Rates on International Trade
Impact of Government Regulation on Industry Profitability
The Role of Behavioral Economics in Decision-Making
The Use of Cryptocurrencies in Global Transactions

Environmental Engineering

Effects of Wetland Restoration on Water Quality
Influence of Green Building Techniques on Energy Efficiency
Impact of Renewable Energy Integration on Grid Stability
The Relationship Between Land Use Planning and Flood Resilience
Efficacy of Environmental Impact Assessments in Construction
Effects of Water Treatment Methods on Contaminant Removal
Influence of Erosion Control Measures on Coastal Preservation
Impact of Watershed Management on Aquatic Ecosystem Health
The Role of Stormwater Management in Urban Sustainability
The Use of Biodegradable Materials in Waste Reduction

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Robotics and Automation

Effects of Different Algorithms on Robot Navigation
Influence of Sensor Technologies on Autonomous Vehicles
Impact of Machine Learning on Robotic Object Recognition
The Relationship Between Human-Robot Interaction and User Satisfaction
Efficacy of Robot-Assisted Surgery in Medical Procedures
Effects of Robotics on Disaster Response and Recovery
Influence of Automation on Manufacturing Efficiency
Impact of AI in Autonomous Drones for Environmental Monitoring
The Role of Robotics in Space Exploration
The Use of AI in Predictive Maintenance for Industrial Equipment

Agricultural Sciences

Effects of Crop Rotation on Soil Nutrient Levels
Influence of Pest Control Methods on Crop Yields
Impact of Irrigation Techniques on Water Conservation
The Relationship Between Genetic Modification and Crop Resilience
Efficacy of Precision Agriculture in Resource Optimization
Effects of Soil Microbes on Plant Health
Influence of Organic Farming on Soil Biodiversity
Impact of Sustainable Practices on Farming Profitability
The Role of Drought-Resistant Crops in Food Security
The Use of Drones in Precision Farming

Energy Engineering

Effects of Different Energy Storage Systems on Grid Reliability
Influence of Renewable Energy Integration on Energy Independence
Impact of Building Insulation on Energy Efficiency
The Relationship Between Energy-Efficient Appliances and Household Savings
Efficacy of Smart Grid Technologies in Energy Management
Effects of Solar Thermal Systems on Water Heating
Influence of Geothermal Heat Pumps on HVAC Efficiency
Impact of Hydropower on Renewable Energy Portfolios
The Role of Energy-Efficient Lighting in Green Building
The Use of Biofuels in Reducing Carbon Emissions

Telecommunications and Networking

Effects of Network Topologies on Data Transmission Speed
Influence of Encryption Protocols on Data Security
Impact of 5G Technology on Mobile Network Performance
The Relationship Between Network Load and Bandwidth Allocation
Efficacy of Network Redundancy in Data Backup
Effects of Internet Traffic on Quality of Service
Influence of Routing Algorithms on Packet Delivery
Impact of Firewall Configurations on Network Protection
The Role of Network Virtualization in Scalability
The Use of IoT Devices in Smart Home Connectivity

Materials Engineering

Effects of Heat Treatment on Material Strength
Influence of Alloy Composition on Metal Durability
Impact of Coating Materials on Corrosion Resistance
The Relationship Between Material Properties and Wear Resistance
Efficacy of Composite Materials in Structural Applications
Effects of Surface Treatments on Material Hardness
Influence of Polymers in Biodegradable Packaging
Impact of Nanomaterials on Lightweight Materials
The Role of Smart Materials in Shape Memory Applications
The Use of Superconductors in Energy Transmission

Renewable Energy Technologies

Effects of Wind Turbine Blade Design on Energy Efficiency
Influence of Solar Panel Orientation on Energy Output
Impact of Biofuel Feedstock on Bioenergy Production
The Relationship Between Geothermal Heat Extraction and Sustainability
Efficacy of Tidal Energy Systems in Marine Environments
Effects of Concentrated Solar Power on Thermal Storage
Influence of Energy-Efficient Lighting in Building Sustainability
Impact of Biomass Gasification on Bioenergy Generation
The Role of Ocean Thermal Energy Conversion in Renewable Energy
The Use of Piezoelectric Materials in Energy Harvesting

Urban Planning and Architecture

Effects of Urban Green Spaces on Air Quality
Influence of Building Design on Indoor Air Quality
Impact of Transportation Systems on Urban Accessibility
The Relationship Between Noise Pollution and Building Acoustics
Efficacy of Low-Impact Development in Urban Stormwater Management
Effects of Smart Cities Technologies on Energy Efficiency
Influence of Green Building Materials on Sustainable Construction
Impact of Walkability in Urban Planning and Health
The Role of Urban Farms in Food Security
The Use of Building Automation Systems in Energy Management

Psychology and Behavioral Science

Effects of Stress Management Techniques on Well-Being
Influence of Cognitive Behavioral Therapy on Anxiety Reduction
Impact of Behavioral Interventions on Autism Spectrum Disorder
The Relationship Between Color Psychology and Retail Sales
Efficacy of Mindfulness Meditation in Stress Reduction
Effects of Music Therapy on Dementia Patients’ Behavior
Influence of Social Media Use on Self-Esteem
Impact of Positive Psychology on Employee Well-Being
The Impact of Video Games on Cognitive Skills

Here, we discussed the list of incredible experimental quantitative research topics for STEM students.

Some Experimental Research Topics For High School Students

Above, we discussed the list of experimental quantitative research topics for STEM students. Now, let’s discuss some experimental research topics suitable for high school students.

Exploring Alternative Energy Sources
Investigating the Effects of Climate Change on Local Ecosystems
Testing the Impact of Different Fertilizers on Plant Growth
Studying the Genetics of Inherited Traits
Measuring the Impact of Music on Concentration and Productivity
Examining the Relationship Between Exercise and Academic Performance
Investigating the Effects of Different Cooking Methods on Food Nutrient Levels
Testing the Efficiency of Water Filtration Methods
Studying the Behavior of Insects in Various Environments
Exploring the Chemistry of Food Preservation
Investigating the Physics of Simple Machines
Testing the Effect of Light on Plant Growth
Studying the Impact of Color on Human Mood and Perception
Measuring the Effect of Different Cleaning Products on Bacterial Growth
Investigating the Physics of Projectile Motion

These research topics cover a wide range of disciplines, allowing high school students to engage in exciting and educational experiments while nurturing their scientific curiosity and passion.

6 Mistakes To Avoid While Choosing an Experimental Research Topic

Selecting the right experimental research topic is an essential step to scoring in academic life. However, some common mistakes can hinder your research progress. Let’s explore six pitfalls to avoid:

1. Lack of Personal Interest

Choosing a topic solely based on its popularity or perceived prestige can lead to a lack of personal connection—your emotional investment matters. Select a subject that genuinely intrigues and excites you, as your enthusiasm will be your driving force throughout the research journey.

2. Overambitious Goals

Setting unrealistic expectations can lead to frustration and burnout. Remember, you’re not expected to solve the world’s most complex problems with a single experiment. Start with manageable, well-defined objectives that align with your resources and timeframe.

3. Ignoring Your Skill Level

Overestimating your skills can be disheartening. Choose a topic that matches your current knowledge and expertise. Gradual growth is emotionally rewarding, and as you gain proficiency, you can tackle more complex challenges.

4. Neglecting Resources

Research can be emotionally draining if you lack the necessary resources, be it equipment, materials, or mentorship. Before diving in, ensure you have access to the tools and guidance required for your chosen topic.

5. Failure to Consider the Bigger Picture

Focusing solely on your topic’s microcosm may lead to a lack of context. Remember to examine how your research fits into the larger scientific landscape. This perspective can be emotionally fulfilling, knowing that your work contributes to a broader understanding.

Also read: 21+ Best Paying Jobs In Computer Software Prepackaged Software

6. Ignoring Ethical and Emotional Implications

Some topics may have ethical considerations or evoke emotional responses. Be aware of the potential emotional toll and moral dilemmas that your research may entail. Ensure that you’re emotionally prepared to address these issues responsibly.

Here, we discussed the mistakes to avoid while choosing the experimental research topics.

In this blog, we discussed the experimental quantitative research topics for STEM students, how to do research, what is STEM, some research topics for high school, and mistakes that should be avoided while choosing the experimental research topics.

In conclusion, an experimental research topic is valuable for STEM students to increase their practical knowledge. Each research topic we choose in this blog will definitely help you to achieve your academic goals. Experimental quantitative research gives STEM students concrete insights to deepen their scientific understanding.

STEM students, addressing what STEM is and why research matters in this field. The key takeaway is to choose a topic that resonates with your passion and aligns with your goals, ensuring a successful journey in STEM research. Choose the best Experimental Quantitative Research Topics For STEM students today!

Frequently Asked Questions

Q1. why is experimental quantitative research important for stem students .

It is important because it fosters critical thinking, problem-solving skills, and hands-on learning. It allows STEM students to explore real-world questions, make evidence-based discoveries, and contribute to advancements in their chosen fields.

Q2. What Skills Will I Develop Through Experimental Research?

STEM students will develop skills in critical thinking, data analysis, problem-solving, project management, and effective communication. These skills are valuable in both academia and the workplace.

Q3. What are the Key Elements of a Good Research Question?

A good research question should be specific, clear, measurable, and relevant. It should also be focused on testing a hypothesis or addressing a knowledge gap in your field.

199+ Engaging Quantitative Research Topics for STEM Students

quantitative research topics for stem students (2)

Discover engaging quantitative research topics for STEM students, spanning energy solutions, medical advancements, and cutting-edge technology. Explore hands-on ideas to sharpen skills and make a tangible impact on the future.

Hey STEM buddy! Ready for some awesome research ideas? We’ve handpicked cool topics just for you.

Inside, you’ll find stuff from new energy solutions to medical breakthroughs. They’re chosen to let you shine with your skills in numbers, problems, and creativity.

You’ll get better at stats, experiments, and telling a great story with your results.

Best part? These ideas make a real impact. Whether it’s saving the environment or inventing something new, let’s dive in and shape the future together!

Why Choose Quantitative Research for STEM Students?

Here’s why quantitative research rocks for STEM students:

Boosts Core Skills

Crunching Numbers: It helps you analyze big data, spot trends, and draw solid conclusions, super important in any STEM gig.
Problem-Solving with Math: You’ll ace making research questions that need number answers, a must-have skill in physics, engineering, and computer science.
Smart Thinking: By sussing out good data and drawing logical conclusions, you’ll become a pro problem-solver in STEM.

Preps You for More

Grad School Ready: Quantitative research sets you up for success in advanced STEM studies.
R&D Pros: Get ready to contribute big time to scientific breakthroughs and cool research projects.

Keeps It Real

Less Bias, More Facts: Quantitative research sticks to the facts, making your findings solid and reliable.
Tangible Results: You’ll get real numbers and clear outcomes, making your research super easy to understand and compare.

Works in All Kinds of STEM

Engineering: Perfect for testing designs and improving processes.
Computer Science: From writing code to analyzing networks, you’ll need those numbers.
Life Sciences: It’s vital for everything from drug trials to understanding how living things work.

So while qualitative research is cool, focusing on numbers sets you up with the skills you need to rock STEM like a pro!

Quantitative Research Topics for STEM Students

Check out quantiative research topics for STEM students:-

Impact of environment on bacteria growth.
Effects of fertilizers on plant growth.
Genetic mutations and disease prevalence.
Strategies for biodiversity preservation.
Temperature’s influence on enzyme activity.
Ecological footprint of a species.
Spread of infectious diseases.
Pollution’s effects on aquatic ecosystems.
Diet’s correlation with lifespan.
Climate change’s impact on bird migration.
Catalyst efficiency in reactions.
Chemical reaction kinetics.
Nanoparticle properties in drug delivery.
pH levels and metal corrosion.
Pollution analysis in air and water.
Water purification methods.
Polymer behavior under conditions.
Thermodynamics of chemical compounds.
Additives’ impact on food stability.
Solar cell efficiency.
Superconductor properties at temperatures.
Mass-acceleration relationship.
Energy transfer in collisions.
Material behavior under pressure.
Projectile trajectory modeling.
Renewable energy source efficiency.
Aerodynamics of wing designs.
Electromagnetic wave properties.
Doppler effect in astronomy.
Temperature’s effect on conductivity.

Mathematics

Resource allocation algorithms.
Prime number distribution analysis.
Fractals in mathematical modeling.
Numerical equation-solving methods.
Geometry-topology relationship.
Chaotic system modeling.
Convergence properties of methods.
Graph theory in networks.
Financial market risk analysis.
Population growth prediction models.

Engineering

Structural material performance.
Heat exchanger efficiency.
Stability of bridges and buildings.
Vehicle propulsion system efficiency.
Fluid behavior in hydraulic systems.
Vibration effects on mechanics.
Electrical circuit reliability.
Manufacturing process energy efficiency.
Traffic flow optimization.

Environmental Science

Deforestation’s impact on climate.
Soil erosion rate quantification.
Conservation strategy effectiveness.
Air pollution’s effects on health.
Ocean acidification’s impact.
Waste management technique analysis.
Carbon footprint analysis.
Urbanization’s effect on water quality.
Renewable energy policy effectiveness.
Species distribution analysis.

Computer Science

Image recognition algorithm development.
Sorting algorithm efficiency.
Machine learning model performance.
Scalability of distributed systems.
Encryption method vulnerability.
Network behavior under cyber-attacks.
Routing protocol efficiency.
Social media user behavior analysis.
Data compression technique performance.
Algorithmic bias impact analysis.

Agricultural Science

Irrigation method impact on crop yield.
Climate change effects on productivity.
Pest control method efficiency.
Crop nutritional content analysis.
Plant disease spread modeling.
Soil composition and crop growth.
Water usage in farming systems.
Genetically modified crop efficacy.
Land use change biodiversity impact.
Organic farming economic viability.

Material Science

Graphene-based material mechanical properties.
Ceramic thermal conductivity.
Metal alloy corrosion resistance.
Semiconductor electrical properties.
Composite material behavior modeling.
Nanomaterial optical property analysis.
Material hardness quantification.
Polymer biocompatibility assessment.
Material self-healing property study.
Manufacturing process environmental impact.

Health Sciences

Exercise impact on cardiovascular health.
Diet’s correlation with obesity.
Air quality’s effects on respiratory health.
Genetic predisposition to diseases.
Infectious disease spread modeling.
Rehabilitation technique effectiveness.
Psychological factors in substance abuse.
Treatment efficacy for mental disorders.
Sleep patterns’ effect on cognition.
Telemedicine’s healthcare access impact.

Neuroscience

Neural mechanisms of learning and memory.
Neurotransmitter effects on brain function.
Neuroplasticity’s brain injury recovery impact.
Brain structure’s cognitive ability correlation.
Decision-making neural network modeling.
Stress effects on brain development.
Brain activity analysis with EEG or fMRI.
Intervention efficacy for neurodegenerative diseases.
Neural basis of addiction.
Aging’s effect on brain health.
Dark matter distribution analysis.
Exoplanet properties using transit photometry.
Galaxy cluster dynamics.
Star formation and evolution.
Celestial body gravitational interaction modeling.
Asteroid and comet composition analysis.
Stellar spectra analysis.
Pulsating star variability study.
Black hole properties analysis.
Cosmic microwave background radiation analysis.

Earth Science

Tectonic activity and seismicity relationship.
Climate change’s glacier retreat impact.
Tornadoes and hurricanes formation factors.
Ocean currents’ climate effect.
Groundwater system behavior modeling.
Deforestation’s local climate impact.
Soil erosion rate analysis.
Landslide risk assessment.
Volcanic eruption impact on atmosphere.
Historical climate data analysis.

Social Sciences

Socioeconomic status and education correlation.
Early childhood intervention impact.
Social media’s mental health effect.
Voter behavior influencing factors.
Misinformation spread modeling.
Crime rate intervention effectiveness.
Urban area income inequality analysis.
Immigration’s labor market impact.
Social support’s health outcome impact.
Residential segregation patterns analysis.
Teaching method impact on learning.
Class size’s academic achievement impact.
Student retention and graduation analysis.
Parental involvement and student success correlation.
Socioeconomic status’ educational attainment impact.
Educational technology effectiveness analysis.
Gender gap in STEM fields analysis.
Early childhood education program effectiveness.
Standardized testing’s educational equity impact.
Teacher training’s student achievement impact.

Business and Economics

Consumer behavior influencing factors.
Advertising’s product sales impact.
Pricing strategy effectiveness analysis.
Inflation’s economic growth correlation.
Financial market dynamics modeling.
Government policy economic impact analysis.
Income inequality’s economic stability impact.
International trade agreement impact analysis.
Entrepreneurship program economic growth impact.
Corporate governance’s firm performance correlation.

Linguistics

Bilingual children’s language acquisition patterns.
Linguistic diversity’s communication impact.
Language structure and cognitive process correlation.
Language evolution modeling.
Cultural trait spread modeling.
Colonialism’s impact on indigenous languages.
Phonological variation analysis.
Technology’s language impact.
Language processing neural basis study.
Language’s cultural identity shaping role.
Decision-making in social dilemmas analysis.
Stress impact on cognitive performance.
Personality traits’ academic achievement impact.
Emotion regulation neural mechanism study.
Attachment style development modeling.
Sleep deprivation’s mood and behavior impact.
Psychotherapy intervention effectiveness analysis.
Social support’s mental health outcome impact.
Social media’s self-esteem impact.
Online community behavior analysis.

Anthropology

Cultural transmission patterns in indigenous communities.
Globalization’s impact on traditional cultures.
Kinship structures and social organization relationship.
Cooperative behavior evolution in societies.
Cultural trait diffusion modeling.
Colonialism’s impact on indigenous populations.
Material culture’s social identity implications.
Migration’s cultural diversity impact.
Rituals and ceremonies’ social cohesion role.
Cultural contact’s language evolution impact.

Political Science

Voter turnout influencing factors analysis.
Gerrymandering’s political representation impact.
Media bias and public opinion correlation.
Campaign finance law electoral outcome impact.
Political polarization modeling.
International diplomacy’s conflict resolution effectiveness.
Government policy income distribution impact.
Electoral system political stability impact.
Identity politics’ political movement impact.
Political participation and activism patterns analysis.

These simplified points should provide a clear overview of research topics in each category for STEM students.

What is quantitative research related to stem students?

Quantitative research is like a secret weapon for STEM students. It helps them explore science using numbers and stats, making their findings solid and reliable. Here’s why:-

It’s Objective: Numbers don’t lie, so it keeps things fair and unbiased.
Testing Ideas: Got a hunch? Quantitative research helps you test your theories properly.
Big Picture: With lots of data, you can make conclusions that matter to more than just your study group.

Now, here are some cool areas where STEM students can get into it:

Environmental Science: Measure climate change impacts or track biodiversity loss.
Public Health: Look at how diets affect diseases or see if vaccines really work.
Engineering: Figure out which materials make things stronger or find the best renewable energy sources.

And a few tips for STEM students diving into quantitative research:

Find the Data: Check out government databases or online sources for info on your topic.
Think Beyond Science: Consider how your research might affect society or the environment.
Get Advice: Talk to your professors for guidance on your project.

With quantitative research, STEM students can unlock new discoveries and make a real impact on the world.

What are the best topics for quantitative research for STEM?

Selecting the “best” topic hinges on your specific STEM interests, but here are some general paths to guide your quantitative research:

Considering Your STEM Field

Data Trends: Explore existing data to uncover patterns. For instance, analyze how different fertilizers impact crop yield or the relationship between exercise and heart rate across demographics.

Efficiency Evaluation: Assess effectiveness through quantitative methods. Research topics could include comparing insulation materials or evaluating algorithm performance for specific tasks.

Design Optimization: Enhance designs by studying material properties’ impact on structural integrity or how design features influence aerodynamic efficiency.

Phenomena Modeling: Use mathematical models to understand real-world scenarios. Investigate disease spread models or analyze financial markets through time series analysis.

General Tips for Strong Quantitative Research:

Data Accessibility: Ensure you can access necessary data, whether from existing sources or through your own experiments.
Real-World Relevance: Address pertinent issues with your research.
Feasibility: Consider time and resource constraints.

Finding Inspiration

Current Events: Stay informed about recent breakthroughs or technological advancements.
Personal Interests: Blend academic pursuits with personal hobbies for added motivation.
Review Papers: Explore current challenges researchers are tackling in your field.

Additional Tips

Focus on Specificity: Craft a precise research question for targeted data collection and analysis.
Consider Study Design: Choose between correlational or experimental approaches to suit your research goals.

Remember, the ideal topic should spark your enthusiasm and enable you to contribute meaningfully to your field.

How can you apply quantitative research in STEM?

Quantitative research is like the engine driving progress in STEM fields. Here’s how it works:

Understanding Phenomena

Modeling and Prediction: We use math to create models of complex systems, making better predictions about real-world behavior. For example, epidemiological models forecast disease spread.
Spotting Relationships: Crunching numbers helps us find connections between things. In ecology, we might study how ocean temperatures affect fish populations.

Testing and Evaluating

Experimenting: We design experiments with controlled variables to discover new stuff. Quantitative research ensures our tests are fair and help us pinpoint what works, like developing new technologies or drugs.
Performance Boost: Engineers use numbers to make things better, like testing different car designs to improve fuel efficiency.

Making Smart Choices

Data-Driven Decisions: From building roads to treating illnesses, STEM fields rely on data to make smart decisions. For instance, traffic data helps plan efficient road networks, while clinical trial results inform medical treatments.
Spotting Trends: Big datasets reveal hidden patterns, helping us predict future events or manage resources. Quantitative weather analysis, for instance, helps forecast climate patterns.

In a nutshell, quantitative research gives us the tools to test ideas, analyze data, and make informed decisions in STEM, driving innovation and understanding in our world.

How do you choose a research topic in STEM?

Choosing an exciting STEM research topic is like embarking on a thrilling quest, blending your passions, feasibility, and potential impact. Here’s your guide:

Ignite Your Passion

Follow What Interests You: Dive into what excites you most in STEM. Whether it’s the mysteries of the human body, the elegance of math, or the potential of renewable energy, let your interests guide your journey.
Stay Current: Keep an eye on the latest breakthroughs in AI or pressing environmental issues. Researching these hot topics can give your project relevance and timeliness.
Classroom Insights: Reflect on standout moments from your STEM classes. Did a concept or experiment leave you eager to explore further? Use that as a starting point for your research.

Refine Your Focus

From Broad to Specific: Begin with a broad STEM area of interest, then zoom into specific subtopics that intrigue you. Whether it’s a particular gene’s role or the ethical dilemmas of AI, sharpen your focus.
Background Check: Dive into preliminary research to understand what’s already known in your chosen subtopic. Look for gaps or unanswered questions that your research can tackle.

Consider Feasibility

Data Access: Can you get your hands on the data you need? Explore existing datasets or plan to gather your own. Also, consider the resources available, like lab equipment or software.
Time and Resources: Be realistic about what’s achievable with your available time and resources. Some topics might demand more effort and advanced tools than others.

Sharpen Your Focus

Craft Your Question: Develop a clear and focused research question. It should guide your data collection and analysis, specific enough to answer but broad enough to intrigue.
Design Decision: Decide on your research approach—correlational or experimental. Choose the one that best fits your question and goals.
Seek Guidance: Discuss your ideas with professors or researchers. They can offer insights to refine your topic and ensure its feasibility.
Find Your Fit: Your ideal topic should excite you, allow for meaningful contribution, and align with your academic goals and resources.

By following these steps, you’ll uncover a captivating STEM research topic that not only ignites your curiosity but also propels you toward making a valuable scientific contribution. Let the adventure begin!

Absolutely, selecting research topics for STEM scholars resembles navigating a vast ocean of opportunities.

From unraveling the mysteries of the cosmos to devising solutions for mundane hurdles, an entire realm awaits exploration.

Simply pursue your passions, maintain a pragmatic approach, and embrace collaboration when needed.

Whether you’re crunching numbers, conducting experiments, or dissecting data, always keep in mind the essence: unearthing novel insights and effecting tangible change.

Therefore, plunge into the depths, relish the journey, and allow your inquisitiveness to chart the course!

139+ Best Experimental Research Topics for STEM Students

Discover simple and exciting experimental research topics for STEM students. Spark curiosity and build essential skills with hands-on projects.

Experimenting is a fun way to learn in STEM. It lets you take ideas and test them in the real world. This guide offers simple research topics for STEM students to explore what interests them, whether it’s figuring out how something works or creating something new.

By choosing a topic, you’ll gain skills like critical thinking and problem-solving. These topics are a great starting point for discovery and innovation.

Table of Contents

Experimental Research Topics for STEM Students PDF

Importance of experimental research in stem fields.

Here’s why experimental research matters in STEM:


	Makes theories come to life through real experiments.
	Helps test and improve solutions to real problems.
	Leads to new discoveries and ideas.
	Teaches how to design tests and understand results.
	Connects science to practical solutions.
	Develops skills like analyzing data and managing projects.

Benefits of conducting experiments for students

Here are the benefits of conducting experiments for students:


	Makes concepts easier to grasp.
	Helps find and fix real-world problems.
	Teaches how to analyze and understand results.
	Encourages new ideas and approaches.
	Builds hands-on skills like using tools and analyzing data.
	Improves how to share and explain findings.
	Makes learning more fun and interactive.

Understanding Experimental Research

Key Components of an Experiment:

A guess about what will happen.

Independent Variable : What you change.
Dependent Variable : What you measure.
Controlled Variables : Things you keep the same.

Control Group

A group that doesn’t get the change, used to compare.

Data Collection

Gathering information during the experiment.

Experimental Research Topics for STEM Students

Check out the experiemental research topics for STEM students:-

Plant Growth Conditions

Skills Required : Basic plant care
Highlights : Test how different soils affect plant growth.

Light Exposure

Skills Required : Light effects on plants
Highlights : See how varying light levels impact plant health.

Water Quality

Skills Required : Water testing
Highlights : Compare plant growth with different water types.

Fungal Growth

Skills Required : Microbiology basics
Highlights : Study how various materials influence fungal growth.

Insect Behavior

Skills Required : Observational skills
Highlights : Investigate insect attraction to colors or smells.

Genetic Variation

Skills Required : Genetics basics
Highlights : Compare pest resistance in different plant genes.

Soil Erosion

Skills Required : Soil knowledge
Highlights : Test how ground covers reduce soil erosion.

Pollinator Efficiency

Skills Required : Botany basics
Highlights : Measure bee visits to different flowers.

Microbe Cultures

Skills Required : Microbiology techniques
Highlights : Explore how natural substances affect microbes.

Temperature Effects

Skills Required : Temperature impact
Highlights : Test how temperature changes affect organism growth.

Acidity and pH Levels

Skills Required : pH testing
Highlights : Measure pH changes with different acids and bases.

Reaction Rates

Skills Required : Reaction speed basics
Highlights : See how temperature or concentration affects reaction time.

Natural Dyes

Skills Required : Dye extraction
Highlights : Test dyeing effectiveness from natural sources.
Skills Required : Catalyst basics
Highlights : Compare how catalysts speed up reactions.

Electrolysis

Skills Required : Electrolysis basics
Highlights : Measure gas production in different electrolytes.
Skills Required : Corrosion knowledge
Highlights : Test material resistance to corrosion.
Skills Required : Solubility basics
Highlights : Compare how different salts dissolve in various liquids.

Chemical Bonds

Skills Required : Bonding theory
Highlights : Explore how conditions affect chemical bonds.

Oxidation-Reduction

Skills Required : Redox basics
Highlights : Measure changes in redox reactions.

Endothermic and Exothermic Reactions

Skills Required : Thermodynamics basics
Highlights : Track temperature changes in endothermic and exothermic reactions.

Simple Machines

Skills Required : Mechanics basics
Highlights : Test how levers or pulleys change force and distance.

Thermal Insulation

Skills Required : Heat transfer basics
Highlights : Compare insulation effectiveness of different materials.

Pendulum Motion

Skills Required : Pendulum basics
Highlights : Study how pendulum length affects swing speed.

Sound Transmission

Skills Required : Sound wave basics
Highlights : Test how materials affect sound transmission.

Projectile Motion

Skills Required : Kinematics basics
Highlights : Measure how launch angle affects projectile distance.

Magnetic Fields

Skills Required : Electromagnetism basics
Highlights : Map out magnetic fields from different magnets.

Electric Circuits

Skills Required : Circuit design basics
Highlights : Compare circuit designs for efficiency.

Fluid Dynamics

Skills Required : Fluid mechanics basics
Highlights : Measure how fluids flow through different channels.

Gravity and Mass

Skills Required : Gravity basics
Highlights : Test how mass affects gravitational acceleration.
Skills Required : Optics basics
Highlights : Measure how light bends through different materials.

Environmental Science

Water filtration.

Skills Required : Filtration methods
Highlights : Test how different materials filter water.

Waste Decomposition

Skills Required : Composting basics
Highlights : Compare decomposition rates of organic wastes.

Solar Energy Efficiency

Skills Required : Solar technology basics
Highlights : Measure energy output from solar devices.

Air Quality

Skills Required : Air pollution basics
Highlights : Study how plants affect indoor air quality.

Greenhouse Gas Emissions

Skills Required : Greenhouse gas knowledge
Highlights : Measure impact of activities on greenhouse gases.

Soil Health

Skills Required : Soil science basics
Highlights : Test how farming practices affect soil health.

Recycling Efficiency

Skills Required : Recycling methods
Highlights : Compare recovery rates of different materials.

Biodiversity

Skills Required : Ecology basics
Highlights : Study species diversity in changing habitats.

Ecosystem Services

Skills Required : Ecosystem functions
Highlights : Measure benefits like water purification from natural processes.

Climate Change Effects

Skills Required : Climate science basics
Highlights : Study how temperature changes affect weather and ecosystems.

Engineering

Structural strength.

Skills Required : Mechanical engineering basics
Highlights : Test how bridge designs hold weight.
Skills Required : Robotics and programming
Highlights : Build and program robots for tasks.

Renewable Energy Models

Skills Required : Renewable energy basics
Highlights : Create models of solar or wind energy devices.

Thermal Conductivity

Highlights : Test how materials conduct heat.

Aerodynamics

Skills Required : Aerodynamics basics
Highlights : Test how shapes affect flight of model airplanes.

Hydraulic Systems

Highlights : Test hydraulic designs for lifting weights.

Mechanical Advantage

Skills Required : Mechanical principles
Highlights : Compare how machines improve force.

Structural Stability

Skills Required : Structural design basics
Highlights : Test how designs affect stability.

Material Strength

Skills Required : Material science basics
Highlights : Compare strength of various materials.

Energy Efficiency

Skills Required : Energy principles
Highlights : Test energy-saving technologies.

Mathematics

Data analysis.

Skills Required : Statistical analysis
Highlights : Analyze trends in data sets.

Geometry in Nature

Skills Required : Geometry basics
Highlights : Study geometric patterns in nature.

Predictive Modeling

Skills Required : Modeling techniques
Highlights : Model and predict outcomes like population growth.

Optimization Problems

Skills Required : Optimization basics
Highlights : Solve problems related to scheduling or resources.

Graph Theory

Skills Required : Graph theory concepts
Highlights : Study network connectivity and efficiency.

Number Patterns

Skills Required : Number theory basics
Highlights : Explore patterns in number sequences.

Probability Experiments

Skills Required : Probability basics
Highlights : Test probability concepts with games or experiments.
Skills Required : Fractal geometry
Highlights : Create and analyze fractal patterns.

Simulations

Skills Required : Simulation techniques
Highlights : Model systems like traffic flow.

Mathematical Games

Skills Required : Game theory basics
Highlights : Design and analyze mathematical games.

Computer Science

Algorithm efficiency.

Skills Required : Algorithm design
Highlights : Compare sorting algorithms for speed.

Artificial Intelligence

Skills Required : AI and machine learning
Highlights : Build and test simple AI models.

Cybersecurity

Skills Required : Cybersecurity basics
Highlights : Test software security measures.

Game Development

Skills Required : Game design and programming
Highlights : Create and test a video game.

Data Visualization

Skills Required : Visualization tools
Highlights : Create graphs to represent data.

Network Analysis

Skills Required : Network basics
Highlights : Study network performance.

Software Testing

Skills Required : Testing methods
Highlights : Find and fix software bugs.

Robotics Programming

Skills Required : Robotics and coding
Highlights : Program robots for tasks.

Human-Computer Interaction

Skills Required : HCI principles
Highlights : Study user experience with different interfaces.

Database Management

Skills Required : Database design and SQL
Highlights : Manage and query databases.

Star Visibility

Skills Required : Star observation
Highlights : Study how light pollution affects star visibility.

Telescope Performance

Skills Required : Telescope use
Highlights : Compare telescope performance.

Planetary Motion

Skills Required : Orbital mechanics
Highlights : Simulate planetary orbits.

Solar Radiation

Skills Required : Solar physics
Highlights : Measure solar radiation effects.

Celestial Events

Skills Required : Astronomy observation
Highlights : Study effects of eclipses on weather.

Stellar Evolution

Skills Required : Stellar astrophysics
Highlights : Investigate stages of star life.

Galaxy Formation

Skills Required : Cosmology basics
Highlights : Model galaxy formation.
Skills Required : Exoplanet detection
Highlights : Study methods for finding exoplanets.

Astronomical Distances

Skills Required : Distance measurement
Highlights : Measure distances between celestial objects.

Cosmic Radiation

Skills Required : Radiation measurement
Highlights : Study cosmic radiation effects on Earth.

Cognitive Load

Skills Required : Cognitive psychology
Highlights : Test how materials affect memory.

Behavioral Responses

Skills Required : Behavioral psychology
Highlights : Study effects of rewards on behavior.

Memory Techniques

Skills Required : Memory research
Highlights : Test methods to improve memory.

Social Perception

Skills Required : Social psychology
Highlights : Explore how social context affects perception.

Emotion and Decision-Making

Skills Required : Emotional psychology
Highlights : Study how emotions impact decisions.

Sleep Studies

Skills Required : Sleep science
Highlights : Investigate how sleep patterns affect daily function.

Stress and Performance

Skills Required : Stress psychology
Highlights : Test how stress affects task performance.

Developmental Stages

Skills Required : Developmental psychology
Highlights : Observe milestones in child development.

Self-Esteem and Achievement

Skills Required : Self-esteem research
Highlights : Explore impact of self-esteem on achievement.

Addiction Studies

Skills Required : Addiction research
Highlights : Study effects of treatments on addiction recovery.

Public Health

Public health campaigns.

Skills Required : Public health knowledge
Highlights : Evaluate effectiveness of health campaigns.
Skills Required : Biochemistry
Highlights : Study how lifestyle changes affect biomarkers.
Skills Required : Ergonomic principles
Highlights : Test how workstation designs impact health.

Disease Prevention

Skills Required : Disease prevention basics
Highlights : Compare preventive measures’ effectiveness.

Mental Health Interventions

Skills Required : Mental health research
Highlights : Study impact of mental health treatments.

Nutrition and Health

Skills Required : Nutritional science
Highlights : Investigate diet effects on health.

Exercise and Well-being

Skills Required : Exercise science
Highlights : Test how exercise impacts health.

Vaccination Rates

Skills Required : Epidemiology
Highlights : Study factors influencing vaccination rates.

Health Literacy

Skills Required : Health education
Highlights : Assess impact of educational materials on health knowledge.

Environmental Health

Skills Required : Environmental science
Highlights : Study effects of environmental factors on health.

Ethical Considerations in Experimental Research

Check out the ethical considerations in experimental research:-


	Ensures participants agree to take part.
	Avoids harm to people or animals.
	Keeps participants’ information private.
	Reports results honestly.

The Scientific Method and Its Role in Experimentation

Here’s a table outlining the steps of the scientific method:


	Noticing something interesting.
	Asking a question about it.
	Making a guess about the answer.
	Testing the guess.
	Looking at the results to see if the guess was right.
	Deciding what the results mean.
	Sharing what you found with others.

Tips for Choosing a Research Topic

Check out the tips for choosing a research topic:-


	Choose something you’re interested in.
	Make sure it matters in your field.
	Ensure you have what you need to study it.
	Look for areas that need more research.
	Get suggestions from teachers or friends.
	Look at existing research to find new ideas.
	Focus on a narrow part of a bigger topic.

Conducting Your Experiment

Check out the tips for conducting your experiment:-


	Outline your experiment’s steps and goals.
	Collect all necessary tools and supplies.
	Arrange your workspace and prepare your setup.
	Stick to your plan and perform each step.
	Take detailed notes and measurements.
	Watch for any unexpected changes or issues.
	Check progress and make adjustments as needed.
	Tidy your workspace and properly handle materials.

Overcoming Challenges

Check out the best tips for overcoming challenges:-


	Change your plan if needed.
	Get advice from teachers or friends.
	Figure out what went wrong and try different solutions.
	Understand that solving issues takes time.
	Use errors as chances to improve.
	Write down problems and solutions for future reference.
	Keep everything tidy to avoid confusion.

Inspiring Examples of Student Experiments

Check out the inspiring examples of student experiments

Growing Crystals

Make crystals from solutions to see how they form.

Build a simple oven powered by sunlight to cook food.

Plant Growth

Test how different lights or soils affect how plants grow.

Homemade Battery

Create a battery using fruits or coins to learn about electricity.

Build a basic filter to clean dirty water and understand water purification.

Physics of Motion

Use ramps and balls to explore how speed and friction work.

Microbiome Study

Collect samples from surfaces to see what kinds of bacteria are present.

Easy Experimental Research Topics for STEM Students

Check out the easy experiemental research topics for STEM students:-

Plant Light Colors: See how plants grow under different colored lights.
Bacteria in Soil: Check how bacteria grow in different types of soil .
Temperature and Reactions: See if changing temperature makes a reaction happen faster.
Fruit Acidity: Test how sour different fruits are.
Pendulum Weight: See if a heavier pendulum swings differently.
Sliding Friction: Test how easily things slide on different surfaces.
Paper Bridges: Build paper bridges and see which design holds the most weight.
Insulation Materials: Compare how well different materials keep water warm.
Sorting Speed: Compare how fast different sorting methods work.
App Design Likes: Find out what people prefer in app designs.
Water Filters: Test how well natural materials clean water.
Decomposition: See how fast different things decompose.

These topics are straightforward and easy to carry out.

Quantitative Experimental Research Topics for STEM Students

Check out quantitative experimental research topics for stem students

Plant Height with Fertilizer: Measure plant growth with different fertilizers.
Bacteria Count: Count bacteria in various food sources.
Reaction Speed: Measure how fast a reaction occurs with different amounts.
Salt Dissolving: Measure how much salt dissolves in water.
Projectile Distance: Measure how far objects travel when thrown.
Material Stretch: Measure how much materials stretch under weight.
Breaking Strength: Measure how much force breaks different materials.
Lever Lift: Measure how much weight levers can lift.
Sorting Time: Measure how long it takes to sort numbers.
App Task Time: Measure how long tasks take in different app designs.
Pollution Levels: Measure pollutants in water.
Decomposition Speed: Measure how quickly different wastes decompose.

Experimental Research Topics for STEM Students About Plants

Check out experiemental research topics for STEM students about plants:-

Light Color and Growth: Test how different light colors affect plant height.
Watering Frequency: Compare plant growth with daily vs. weekly watering.
Soil Types: See how different soils affect plant growth.
Fertilizer Effects: Test how different fertilizers impact plant growth.
Temperature Impact: Measure plant growth at different temperatures.
Soil pH Levels: Compare plant growth in different pH soils.
Container Types: See how plant growth differs in various containers.
Plant Spacing: Test how spacing affects plant growth.
Pesticide Types: Compare natural vs. synthetic pesticides on plant health.
Planting Depth: Measure growth with different planting depths.

Experimental Research Topics for STEM Students in the Philippines

Check out Experimental research topics for STEM students in the Philippines

Agriculture

Rice Varieties: Compare growth of different rice types.
Organic Fertilizers: Test local organic fertilizers on plant growth.
Watering Methods: Compare watering techniques for drought resistance.
Urbanization and Wildlife: Study how city growth affects local animals.
Waste Segregation: Evaluate different waste separation methods.
Beach Plastic Pollution: Measure plastic waste on local beaches.
Soil Types and Plant Growth: Test plant growth in various local soils.
Pests and Crops: Study how local pests affect crops.
Herbal Remedies: Test the effectiveness of Filipino herbal remedies.
Water Quality: Measure water quality in local rivers.
Natural Water Purifiers: Test how well natural materials filter water.
Soil pH and Crops: See how soil pH affects crop growth.
Water Filtration Systems: Develop low-cost water filters.
Earthquake-Resistant Structures: Test materials for earthquake resistance.
Renewable Energy: Explore solar or wind energy use in rural areas.
Internet Access and Education: Study how internet access impacts learning.
Farmers’ Mobile App: Test a mobile app for local farmers.
Data Security: Evaluate data protection practices in local contexts.

Choosing the right research topics can make STEM projects both fun and meaningful. For example, testing how different light affects plant growth or looking at local pollution can give students hands-on experience with real issues. These easy projects not only make learning enjoyable but also show how STEM can solve everyday problems.

By choosing topics that are relevant and interesting, students can see how their studies connect to the world around them and see their work make a difference. Whether it’s exploring renewable energy or understanding local wildlife, focusing on practical and relatable subjects makes the learning experience more meaningful and fun.

270+ Unique Cyber Security Research Topics For Students

250+ Best Cloud Computing Research Topics for students 2024

200 Quantitative Research Title for Stem Students

Are you a STEM (Science, Technology, Engineering, and Mathematics) student looking for inspiration for your next research project? You’re in the right place! Quantitative research involves gathering numerical data to answer specific questions, and it’s a fundamental part of STEM fields. To help you get started on your research journey, we’ve compiled a list of 200 quantitative research title for stem students. These titles span various STEM disciplines, from biology to computer science. Whether you’re an undergraduate or graduate student, these titles can serve as a springboard for your research ideas.

Biology and Life Sciences

The Impact of pH Levels on Microbial Growth
Examining the Impact of Temperature on Enzyme Activity.
Investigating the Relationship Between Genetics and Obesity
Exploring the Diversity of Microorganisms in Soil Samples
Quantifying the Impact of Pesticides on Aquatic Ecosystems
Studying the Effect of Light Exposure on Plant Growth
Analyzing the Efficiency of Antibiotics on Bacterial Infections
Investigating the Relationship Between Blood Type and Disease Susceptibility
Evaluating the Effects of Different Diets on Lifespan in Fruit Flies
Evaluating the Influence of Air Pollution on Respiratory Health.
Determining the Kinetics of Chemical Reactions
Investigating the Conductivity of Various Ionic Solutions
Analyzing the Effects of Temperature on Gas Solubility
Studying the Corrosion Rate of Metals in Different Environments
Quantifying the Concentration of Heavy Metals in Water Sources
Evaluating the Efficiency of Photocatalytic Materials in Water Purification
Examining the Thermodynamics of Electrochemical Cells
Investigating the Effect of pH on Acid-Base Titrations
Analyzing the Composition of Natural and Synthetic Polymers
Assessing the Chemical Properties of Nanoparticles
Measuring the Speed of Light Using Interferometry
Studying the Behavior of Electromagnetic Waves in Different Media
Investigating the Relationship Between Mass and Gravitational Force
Analyzing the Efficiency of Solar Cells in Energy Conversion
Examining Quantum Entanglement in Photon Pairs
Quantifying the Heat Transfer in Different Materials
Evaluating the Efficiency of Wind Turbines in Energy Production
Studying the Elasticity of Materials Through Stress-Strain Analysis
Analyzing the Effects of Magnetic Fields on Particle Motion
Investigating the Behavior of Superconductors at Low Temperatures

Mathematics

Exploring Patterns in Prime Numbers
Analyzing the Distribution of Random Variables
Investigating the Properties of Fractals in Geometry
Evaluating the Efficiency of Optimization Algorithms
Studying the Dynamics of Differential Equations
Quantifying the Growth of Cryptocurrency Markets
Analyzing Network Theory and its Applications
Investigating the Complexity of Sorting Algorithms
Assessing the Predictive Power of Machine Learning Models
Examining the Distribution of Prime Factors in Large Numbers

Computer Science

Evaluating the Performance of Encryption Algorithms
Analyzing the Efficiency of Data Compression Techniques
Investigating Cybersecurity Threats in IoT Devices
Quantifying the Impact of Code Refactoring on Software Quality
Studying the Behavior of Neural Networks in Image Recognition
Analyzing the Effectiveness of Natural Language Processing Models
Investigating the Relationship Between Software Bugs and Development Methods
Evaluating the Efficiency of Blockchain Consensus Mechanisms
Assessing the Privacy Implications of Social Media Data Mining
Studying the Dynamics of Online Social Networks

Engineering

Analyzing the Structural Integrity of Bridges Under Load
Investigating the Efficiency of Renewable Energy Systems
Quantifying the Performance of Water Filtration Systems
Evaluating the Durability of 3D-Printed Materials
Studying the Aerodynamics of Drone Design
Analyzing the Impact of Noise Pollution on Urban Environments
Investigating the Efficiency of Heat Exchangers in HVAC Systems
Assessing the Safety of Autonomous Vehicles in Real-world Scenarios
Exploring the Applications of Artificial Intelligence in Robotics
Investigating Material Behavior in Extreme Conditions.

Environmental Science

Assessing the Effect of Climate Change on Wildlife Migration.
Analyzing the Effect of Deforestation on Carbon Sequestration
Investigating the Relationship Between Air Quality and Human Health
Quantifying the Rate of Soil Erosion in Different Landscapes
Analyzing the Impacts of Ocean Acidification on Coral Reefs.
Assessing the Efficiency of Waste-to-Energy Conversion Technologies
Analyzing the Impact of Urbanization on Local Microclimates
Investigating the Effect of Oil Spills on Aquatic Ecosystems
Assessing the Effectiveness of Endangered Species Conservation Initiatives.
Studying the Dynamics of Ecological Communities

Astronomy and Space Sciences

Measuring the Orbits of Exoplanets Using Transit Photometry
Investigating the Formation of Stars in Nebulae
Analyzing the Characteristics of Black Holes
Exploring the Characteristics of Cosmic Microwave Background Radiation.
Quantifying the Distribution of Dark Matter in Galaxies
Assessing the Effects of Space Weather on Satellite Communications
Evaluating the Potential for Asteroid Mining
Investigating the Habitability of Exoplanets in the Goldilocks Zone
Analyzing Gravitational Waves from Neutron Star Collisions
Investigating the Evolution of Galaxies Across Cosmic Eras.

Health Sciences

Evaluating the Impact of Exercise on Cardiovascular Health
Analyzing the Relationship Between Diet and Diabetes
Investigating the Efficacy of Vaccination Programs
Quantifying the Psychological Effects of Social Media Use
Studying the Genetics of Neurodegenerative Diseases
Analyzing the Effects of Meditation on Stress Reduction
Investigating the Correlation Between Sleep Patterns and Mental Health
Assessing the Influence of Environmental Factors on Allergies
Evaluating the Effectiveness of Telemedicine in Patient Care
Studying the Health Disparities Among Different Demographic Groups

Materials Science

Analyzing the Properties of Carbon Nanotubes for Nanoelectronics
Investigating the Thermal Conductivity of Advanced Ceramics
Quantifying the Strength of Composite Materials
Studying the Optical Properties of Quantum Dots
Evaluating the Biocompatibility of Biomaterials for Implants
Investigating the Phase Transitions in Perovskite Materials
Analyzing the Mechanical Behavior of Shape Memory Alloys
Assessing the Corrosion Resistance of Coatings on Metals
Studying the Electrical Conductivity of Polymer Blends
Exploring the Superconducting Properties of High-Temperature Superconductors

Earth Sciences

Assessing the Influence of Volcanic Eruptions on Climate.
Analyzing the Geological Processes Shaping Earth’s Surface
Investigating the Seismic Activity in Subduction Zones
Quantifying the Rate of Glacial Retreat in Polar Regions
Studying the Formation of Earthquakes Along Fault Lines
Analyzing the Changes in Ocean Circulation Due to Climate Change
Investigating the Effects of Urbanization on Groundwater Quality
Assessing the Risk of Landslides in Hilly Terrain
Evaluating the Impact of Coastal Erosion on Communities
Studying the Behavior of Hurricanes in Different Oceanic Basins

Social Sciences and Economics

Analyzing the Economic Impact of Natural Disasters
Investigating the Relationship Between Education and Income
Quantifying the Effects of Public Health Policies on Disease Spread
Studying the Demographic Changes in Aging Populations
Evaluating the Effects of Gender Diversity on Corporate Performance
Analyzing the Influence of Social Media on Political Behavior
Investigating the Correlation Between Happiness and Economic Growth
Assessing the Factors Affecting Consumer Buying Behavior
Studying the Dynamics of International Trade Flows
Exploring the Effects of Income Inequality on Social Mobility

Robotics and Artificial Intelligence

Evaluating the Performance of Reinforcement Learning Algorithms in Robotics
Analyzing the Efficiency of Autonomous Navigation Systems
Investigating Human-Robot Interaction in Collaborative Environments
Quantifying the Accuracy of Object Detection Algorithms
Studying the Ethics of Autonomous AI Decision-Making
Analyzing the Robustness of Machine Learning Models to Adversarial Attacks
Investigating the Use of AI in Healthcare Diagnosis
Assessing the Impact of AI on Job Markets
Evaluating the Efficiency of Natural Language Processing in Chatbots
Studying the Potential for AI to Enhance Education

Energy and Sustainability

Examining the Environmental Consequences of Renewable Energy Sources.
Investigating the Efficiency of Energy Storage Systems
Quantifying the Benefits of Green Building Technologies
Studying the Effects of Carbon Pricing on Emissions Reduction
Examining the Prospect for Carbon Capture and Storage
Assessing the Sustainability of Food Production Systems
Investigating the Impact of Electric Vehicles on Urban Air Quality
Analyzing the Energy Consumption Patterns in Smart Cities
Studying the Feasibility of Hydrogen as a Clean Energy Carrier
Exploring Sustainable Agriculture Practices for Crop Yield Improvement

Neuroscience and Psychology

Evaluating the Cognitive Effects of Video Game Play
Analyzing Brain Activity During Decision-Making Processes
Investigating the Neural Correlates of Emotional Regulation
Quantifying the Impact of Music on Brain Function
Analyzing the Outcomes of Mindfulness Meditation on Anxiety
Analyzing Sleep Patterns and Memory Consolidation
Investigating the Relationship Between Neurotransmitters and Mood
Assessing the Neural Basis of Addiction
Evaluating the Effects of Trauma on Brain Structure
Studying the Brain’s Response to Virtual Reality Environments

Mechanical Engineering

Analyzing the Efficiency of Heat Exchangers in Power Plants
Investigating the Wear and Tear of Mechanical Bearings
Quantifying the Vibrations in Mechanical Systems
Studying the Aerodynamics of Wind Turbine Blades
Evaluating the Frictional Properties of Lubricants
Assessing the Efficiency of Cooling Systems in Electronics
Investigating the Performance of Internal Combustion Engines
Analyzing the Impact of Additive Manufacturing on Product Development
Studying the Dynamics of Fluid Flow in Pipelines
Exploring the Behavior of Composite Materials in Aerospace Structures

Biomedical Engineering

Evaluating the Biomechanics of Human Joint Replacements
Analyzing the Performance of Wearable Health Monitoring Devices
Investigating the Biocompatibility of 3D-Printed Medical Implants
Quantifying the Drug Release Rates from Biodegradable Polymers
Studying the Efficiency of Drug Delivery Systems
Assessing the Use of Nanoparticles in Cancer Therapies
Investigating the Biomechanics of Tissue Engineering Constructs
Analyzing the Effects of Electrical Stimulation on Nerve Regeneration
Evaluating the Mechanical Properties of Artificial Heart Valves
Studying the Biomechanics of Human Movement

Civil and Environmental Engineering

Analyzing the Structural Behavior of Tall Buildings in Seismic Zones
Investigating the Efficiency of Stormwater Management Systems
Quantifying the Impact of Green Infrastructure on Urban Flooding
Studying the Behavior of Soils in Slope Stability Analysis
Evaluating the Performance of Water Treatment Plants
Assessing the Sustainability of Transportation Systems
Investigating the Effects of Climate Change on Infrastructure Resilience
Analyzing the Environmental Impact of Construction Materials
Studying the Dynamics of River Sediment Transport
Exploring the Use of Smart Materials in Civil Engineering Applications

Chemical Engineering

Evaluating the Efficiency of Chemical Reactors in Pharmaceutical Production
Analyzing the Mass Transfer Rates in Membrane Separation Processes
Investigating the Effects of Catalysis on Chemical Reactions
Quantifying the Kinetics of Polymerization Reactions
Studying the Thermodynamics of Gas-Liquid Absorption Processes
Assessing the Efficiency of Adsorption-Based Carbon Capture
Investigating the Rheological Properties of Non-Newtonian Fluids
Analyzing the Effects of Surfactants on Foam Stability
Studying the Mass Transport in Microfluidic Devices
Exploring the Synthesis of Nanomaterials for Energy Applications

Electrical and Electronic Engineering

Analyzing the Efficiency of Power Electronics in Electric Vehicles
Investigating the Performance of Wireless Communication Systems
Quantifying the Power Consumption of IoT Devices
Studying the Reliability of Printed Circuit Boards
Evaluating the Efficiency of Photovoltaic Inverters
Assessing the Electromagnetic Compatibility of Electronic Devices
Investigating the Behavior of Antenna Arrays in Beamforming
Analyzing the Power Quality in Electrical Grids
Studying the Security of IoT Networks
Exploring the Use of Machine Learning in Signal Processing

These 200 quantitative research titles offer a diverse array of options to inspire your next STEM research endeavor. Always remember to select a subject that truly captivates your interest and curiosity, as your enthusiasm and curiosity will drive your research to new heights. Good luck with your research journey, STEM student!

100+ Quantitative Research Topics For Students

Quantitative research is a research strategy focusing on quantified data collection and analysis processes. This research strategy emphasizes testing theories on various subjects. It also includes collecting and analyzing non-numerical data.

Quantitative research is a common approach in the natural and social sciences , like marketing, business, sociology, chemistry, biology, economics, and psychology. So, if you are fond of statistics and figures, a quantitative research title would be an excellent option for your research proposal or project.

How to Get a Title of Quantitative Research

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Finding a great title is the key to writing a great quantitative research proposal or paper. A title for quantitative research prepares you for success, failure, or mediocre grades. This post features examples of quantitative research titles for all students.

Putting together a research title and quantitative research design is not as easy as some students assume. So, an example topic of quantitative research can help you craft your own. However, even with the examples, you may need some guidelines for personalizing your research project or proposal topics.

So, here are some tips for getting a title for quantitative research:

Consider your area of studies
Look out for relevant subjects in the area
Expert advice may come in handy
Check out some sample quantitative research titles

Making a quantitative research title is easy if you know the qualities of a good title in quantitative research. Reading about how to make a quantitative research title may not help as much as looking at some samples. Looking at a quantitative research example title will give you an idea of where to start.

However, let’s look at some tips for how to make a quantitative research title:

The title should seem interesting to readers
Ensure that the title represents the content of the research paper
Reflect on the tone of the writing in the title
The title should contain important keywords in your chosen subject to help readers find your paper
The title should not be too lengthy
It should be grammatically correct and creative
It must generate curiosity

An excellent quantitative title should be clear, which implies that it should effectively explain the paper and what readers can expect. A research title for quantitative research is the gateway to your article or proposal. So, it should be well thought out. Additionally, it should give you room for extensive topic research.

A sample of quantitative research titles will give you an idea of what a good title for quantitative research looks like. Here are some examples:

What is the correlation between inflation rates and unemployment rates?
Has climate adaptation influenced the mitigation of funds allocation?
Job satisfaction and employee turnover: What is the link?
A look at the relationship between poor households and the development of entrepreneurship skills
Urbanization and economic growth: What is the link between these elements?
Does education achievement influence people’s economic status?
What is the impact of solar electricity on the wholesale energy market?
Debt accumulation and retirement: What is the relationship between these concepts?
Can people with psychiatric disorders develop independent living skills?
Children’s nutrition and its impact on cognitive development

Quantitative research applies to various subjects in the natural and social sciences. Therefore, depending on your intended subject, you have numerous options. Below are some good quantitative research topics for students:

The difference between the colorific intake of men and women in your country
Top strategies used to measure customer satisfaction and how they work
Black Friday sales: are they profitable?
The correlation between estimated target market and practical competitive risk assignment
Are smartphones making us brighter or dumber?
Nuclear families Vs. Joint families: Is there a difference?
What will society look like in the absence of organized religion?
A comparison between carbohydrate weight loss benefits and high carbohydrate diets?
How does emotional stability influence your overall well-being?
The extent of the impact of technology in the communications sector

Creativity is the key to creating a good research topic in quantitative research. Find a good quantitative research topic below:

How much exercise is good for lasting physical well-being?
A comparison of the nutritional therapy uses and contemporary medical approaches
Does sugar intake have a direct impact on diabetes diagnosis?
Education attainment: Does it influence crime rates in society?
Is there an actual link between obesity and cancer rates?
Do kids with siblings have better social skills than those without?
Computer games and their impact on the young generation
Has social media marketing taken over conventional marketing strategies?
The impact of technology development on human relationships and communication
What is the link between drug addiction and age?

Need more quantitative research title examples to inspire you? Here are some quantitative research title examples to look at:

Habitation fragmentation and biodiversity loss: What is the link?
Radiation has affected biodiversity: Assessing its effects
An assessment of the impact of the CORONA virus on global population growth
Is the pandemic truly over, or have human bodies built resistance against the virus?
The ozone hole and its impact on the environment
The greenhouse gas effect: What is it and how has it impacted the atmosphere
GMO crops: are they good or bad for your health?
Is there a direct link between education quality and job attainment?
How have education systems changed from traditional to modern times?
The good and bad impacts of technology on education qualities

Your examiner will give you excellent grades if you come up with a unique title and outstanding content. Here are some quantitative research examples titles.

Online classes: are they helpful or not?
What changes has the global CORONA pandemic had on the population growth curve?
Daily habits influenced by the global pandemic
An analysis of the impact of culture on people’s personalities
How has feminism influenced the education system’s approach to the girl child’s education?
Academic competition: what are its benefits and downsides for students?
Is there a link between education and student integrity?
An analysis of how the education sector can influence a country’s economy
An overview of the link between crime rates and concern for crime
Is there a link between education and obesity?

Research title example quantitative topics when well-thought guarantees a paper that is a good read. Look at the examples below to get started.

What are the impacts of online games on students?
Sex education in schools: how important is it?
Should schools be teaching about safe sex in their sex education classes?
The correlation between extreme parent interference on student academic performance
Is there a real link between academic marks and intelligence?
Teacher feedback: How necessary is it, and how does it help students?
An analysis of modern education systems and their impact on student performance
An overview of the link between academic performance/marks and intelligence
Are grading systems helpful or harmful to students?
What was the impact of the pandemic on students?

Irrespective of the course you take, here are some titles that can fit diverse subjects pretty well. Here are some creative quantitative research title ideas:

A look at the pre-corona and post-corona economy
How are conventional retail businesses fairing against eCommerce sites like Amazon and Shopify?
An evaluation of mortality rates of heart attacks
Effective treatments for cardiovascular issues and their prevention
A comparison of the effectiveness of home care and nursing home care
Strategies for managing effective dissemination of information to modern students
How does educational discrimination influence students’ futures?
The impacts of unfavorable classroom environment and bullying on students and teachers
An overview of the implementation of STEM education to K-12 students
How effective is digital learning?

If your paper addresses a problem, you must present facts that solve the question or tell more about the question. Here are examples of quantitative research titles that will inspire you.

An elaborate study of the influence of telemedicine in healthcare practices
How has scientific innovation influenced the defense or military system?
The link between technology and people’s mental health
Has social media helped create awareness or worsened people’s mental health?
How do engineers promote green technology?
How can engineers raise sustainability in building and structural infrastructures?
An analysis of how decision-making is dependent on someone’s sub-conscious
A comprehensive study of ADHD and its impact on students’ capabilities
The impact of racism on people’s mental health and overall wellbeing
How has the current surge in social activism helped shape people’s relationships?

Are you looking for an example of a quantitative research title? These ten examples below will get you started.

The prevalence of nonverbal communication in social control and people’s interactions
The impacts of stress on people’s behavior in society
A study of the connection between capital structures and corporate strategies
How do changes in credit ratings impact equality returns?
A quantitative analysis of the effect of bond rating changes on stock prices
The impact of semantics on web technology
An analysis of persuasion, propaganda, and marketing impact on individuals
The dominant-firm model: what is it, and how does it apply to your country’s retail sector?
The role of income inequality in economy growth
An examination of juvenile delinquents’ treatment in your country

Excellent Topics For Quantitative Research

Here are some titles for quantitative research you should consider:

Does studying mathematics help implement data safety for businesses
How are art-related subjects interdependent with mathematics?
How do eco-friendly practices in the hospitality industry influence tourism rates?
A deep insight into how people view eco-tourisms
Religion vs. hospitality: Details on their correlation
Has your country’s tourist sector revived after the pandemic?
How effective is non-verbal communication in conveying emotions?
Are there similarities between the English and French vocabulary?
How do politicians use persuasive language in political speeches?
The correlation between popular culture and translation

Here are some quantitative research titles examples for your consideration:

How do world leaders use language to change the emotional climate in their nations?
Extensive research on how linguistics cultivate political buzzwords
The impact of globalization on the global tourism sector
An analysis of the effects of the pandemic on the worldwide hospitality sector
The influence of social media platforms on people’s choice of tourism destinations
Educational tourism: What is it and what you should know about it
Why do college students experience math anxiety?
Is math anxiety a phenomenon?
A guide on effective ways to fight cultural bias in modern society
Creative ways to solve the overpopulation issue

An example of quantitative research topics for 12 th -grade students will come in handy if you want to score a good grade. Here are some of the best ones:

The link between global warming and climate change
What is the greenhouse gas impact on biodiversity and the atmosphere
Has the internet successfully influenced literacy rates in society
The value and downsides of competition for students
A comparison of the education system in first-world and third-world countries
The impact of alcohol addiction on the younger generation
How has social media influenced human relationships?
Has education helped boost feminism among men and women?
Are computers in classrooms beneficial or detrimental to students?
How has social media improved bullying rates among teenagers?

High school students can apply research titles on social issues or other elements, depending on the subject. Let’s look at some quantitative topics for students:

What is the right age to introduce sex education for students
Can extreme punishment help reduce alcohol consumption among teenagers?
Should the government increase the age of sexual consent?
The link between globalization and the local economy collapses
How are global companies influencing local economies?

There are numerous possible quantitative research topics you can write about. Here are some great quantitative research topics examples:

The correlation between video games and crime rates
Do college studies impact future job satisfaction?
What can the education sector do to encourage more college enrollment?
The impact of education on self-esteem
The relationship between income and occupation

You can find inspiration for your research topic from trending affairs on social media or in the news. Such topics will make your research enticing. Find a trending topic for quantitative research example from the list below:

How the country’s economy is fairing after the pandemic
An analysis of the riots by women in Iran and what the women gain to achieve
Is the current US government living up to the voter’s expectations?
How is the war in Ukraine affecting the global economy?
Can social media riots affect political decisions?

A proposal is a paper you write proposing the subject you would like to cover for your research and the research techniques you will apply. If the proposal is approved, it turns to your research topic. Here are some quantitative titles you should consider for your research proposal:

Military support and economic development: What is the impact in developing nations?
How does gun ownership influence crime rates in developed countries?
How can the US government reduce gun violence without influencing people’s rights?
What is the link between school prestige and academic standards?
Is there a scientific link between abortion and the definition of viability?

You can never have too many sample titles. The samples allow you to find a unique title you’re your research or proposal. Find a sample quantitative research title here:

Does weight loss indicate good or poor health?
Should schools do away with grading systems?
The impact of culture on student interactions and personalities
How can parents successfully protect their kids from the dangers of the internet?
Is the US education system better or worse than Europe’s?

If you’re a business major, then you must choose a research title quantitative about business. Let’s look at some research title examples quantitative in business:

Creating shareholder value in business: How important is it?
The changes in credit ratings and their impact on equity returns
The importance of data privacy laws in business operations
How do businesses benefit from e-waste and carbon footprint reduction?
Organizational culture in business: what is its importance?

We Are A Call Away

Interesting, creative, unique, and easy quantitative research topics allow you to explain your paper and make research easy. Therefore, you should not take choosing a research paper or proposal topic lightly. With your topic ready, reach out to us today for excellent research paper writing services .

STEM Research Topics for an Educational Paper

STEM stands for Science, Technology, Engineering, and Math. It is essential for learning and discovery, helping us understand the world, solve problems, and think critically. STEM research goes beyond classroom learning, allowing us to explore specific areas in greater detail. But what is a good topic for research STEM?

Here are a few examples to get you thinking:

Can computers be used to help doctors diagnose diseases?
How can we build houses that are strong and don't hurt the environment?
What are the mysteries of space that scientists haven't figured out yet?

Why is STEM important? STEM is everywhere—from the phones we use to the medicine that keeps us healthy. Learning about these fields helps us build a better future by developing new technologies, protecting our environment, and solving critical problems.

Now that you understand the basics, let's dive into some of the most interesting and important research topics you can choose from.

The List of 260 STEM Research Topics

The right topic will keep you engaged and motivated throughout the writing process. However, with so many areas to explore and problems to solve, finding a unique topic can seem a bit tough. To help you with this, we have compiled a list of 260 STEM research topics. This list aims to guide your decision-making and help you discover a subject that holds significant potential for impact. And if you need further help writing about your chosen topic, feel free to hire someone to write a paper on our professional platform!

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Physics Research Topics

Physics, the study of matter, energy, and their interactions, is the foundation for understanding our universe. Here are 20 topics to ignite your curiosity:

Can we develop more efficient solar panels to capture and utilize solar energy for a sustainable future?
How can we further explore the fundamental building blocks of matter, like quarks and leptons, to understand the nature of our universe?
How can we detect and understand dark matter and dark energy, which make up most of the universe's mass and energy but remain a mystery?
What happens to matter and energy when they enter a black hole?
How can we reconcile the theories of quantum mechanics and general relativity to understand gravity at the atomic level?
How can materials with zero electrical resistance be developed and used for more efficient power transmission and next-generation technologies?
What were the conditions of the universe moments after the Big Bang?
How can we manipulate and utilize sound for applications in areas like medical imaging and communication?
How does light behave as both a wave and a particle?
Can we harness the power of nuclear fusion, the process that powers stars, to create a clean and sustainable energy source for the future?
How can physics principles be used to understand and predict the effects of climate change and develop solutions to mitigate its impact?
Can we explore new physics concepts to design more efficient and sustainable aircraft?
What is the fundamental nature of magnetism?
How can we develop new materials with specific properties like superconductivity, high strength, or self-healing capabilities?
How do simple toys like pendulums or gyroscopes demonstrate fundamental physics concepts like motion and energy transfer?
How do physics principles like aerodynamics, momentum, and force transfer influence the performance of athletes and sports equipment?
What is the physics behind sound waves that allow us to hear and appreciate music?
How do technologies like X-rays, MRIs, and CT scans utilize physics principles to create images of the human body for medical diagnosis?
How do waves, currents, and tides behave in the ocean?
How do basic physics concepts like friction, gravity, and pressure play a role in everyday activities like walking, riding a bike, or playing sports?

Use our physics helper to write a paper on any of these topics of your choice!

Chemistry Research Topics

If you're curious about the world around you at the molecular level, here are 20 intriguing topic questions for you:

Can we create chemical reactions that are kinder to the environment?
How can we design new drugs to fight diseases more effectively?
Is it possible to develop materials with properties never seen before?
Can we store energy using chemical reactions for a sustainable future?
What's the chemistry behind creating delicious and nutritious food?
Can chemistry help us analyze evidence and solve crimes more efficiently?
Are there cleaner ways to power our vehicles using chemistry?
How can we reduce plastic pollution with innovative chemical solutions?
What chemicals influence our brain function and behavior?
What exciting new applications can we discover for versatile polymers?
What's the science behind the fascinating world of scents?
How can we develop effective methods for purifying water for safe consumption?
Can we explore the potential of nanochemistry to create revolutionary technologies?
What chemicals are present in the air we breathe, and how do they affect our health?
Why do objects have different colors? Can we explain it through the lens of chemistry?
Do natural catalysts like enzymes hold the key to more efficient chemical processes?
Can we use chemistry to analyze historical objects and uncover their stories?
What's the science behind the beauty products we use every day?
Are artificial sweeteners and flavors safe for consumption?
What chemicals are present in space, and how do they contribute to our universe's composition?

Engineering Research Topics

The world of engineering is all about applying scientific knowledge to solve practical problems. Here are some thought-provoking questions to guide you:

Can we design robots that can assist us in complex surgeries?
How can we create self-driving cars that are safe and reliable?
Is it possible to build sustainable cities that minimize environmental impact?
What innovative materials can we develop for stronger and more resilient buildings?
How can we harness renewable energy sources like wind and solar more efficiently?
Can we design more sustainable and eco-friendly water treatment systems?
What technologies can improve communication and connectivity, especially in remote areas?
How can we create next-generation prosthetics that provide a natural feel and function?
Is it possible to engineer solutions for food security and sustainable agriculture?
What innovative bridges and transportation systems can we design for smarter cities?
How can we engineer safer and more efficient methods for space exploration?
Can we develop robots that can perform hazardous tasks in dangerous environments?
Is it possible to create new manufacturing processes that minimize waste and pollution?
How can we engineer smarter and more efficient power grids to meet our energy demands?
What innovative solutions can we develop to mitigate the effects of climate change?
Can we design more accessible technologies that improve the lives of people with disabilities?
How can we engineer better disaster preparedness and response systems?
Is it possible to create sustainable and efficient methods for waste management?
What innovative clothing and protective gear can we engineer for extreme environments?
Can we develop new technologies for faster and more accurate medical diagnostics?

Mathematics Research Topics

Mathematics, the language of patterns and relationships, offers endless possibilities for exploration. While you ask us to do my math homework for me online , you can choose the topic for your math paper below.

Can we develop new methods to solve complex mathematical problems more efficiently?
Is there a hidden mathematical structure behind seemingly random events?
How can we apply mathematical models to understand and predict real-world phenomena?
Are there undiscovered prime numbers waiting to be found, stretching the boundaries of number theory?
Can we develop new methods for data encryption and security based on advanced mathematical concepts?
How can we utilize game theory to understand competition, cooperation, and decision-making?
Can we explore the fascinating world of fractals and their applications in various fields?
Is it possible to solve long standing mathematical problems like the Goldbach conjecture?
How can we apply topology to understand the properties of shapes and spaces?
Can we develop new mathematical models for financial markets and risk analysis?
What role does cryptography play in the future of secure communication?
How can abstract algebra help us solve problems in other areas of mathematics and science?
Is it possible to explore the connections between mathematics and computer science for groundbreaking discoveries?
Can we utilize calculus to optimize processes and solve problems in engineering and physics?
How can mathematical modeling help us understand and predict weather patterns?
Is it possible to develop new methods for solving differential equations?
Can we explore the applications of set theory in various branches of mathematics?
How can mathematical logic help us analyze arguments and ensure their validity?
Is it possible to apply graph theory to model complex networks like social media or transportation systems?
Can we explore the fascinating world of infinity and its implications for our understanding of numbers and sets?

STEM Topics for Research in Biology

Biology is the amazing study of living things, from the tiniest creatures to giant ecosystems. If you're curious about the world around you, here are 20 interesting research topics to explore:

Can we change plants to catch more sunlight and grow better, helping us get food in a more eco-friendly way?
How do animals like whales or bees use sounds or dances to chat with each other?
Can tiny living things in our gut be used to improve digestion, fight sickness, or even affect our mood?
How can special cells called stem cells be used to repair damaged organs or tissues, leading to brand-new medical treatments?
What happens inside our cells that makes us age, and can we possibly slow it down?
How do internal clocks in living things influence sleep, how their body works, and overall health?
How does pollution from things like tiny plastic pieces harm sea creatures and maybe even us humans?
Can we understand how our brains learn and remember things to create better ways of teaching?
Explore the relationships between different species, like clownfish and anemones, where both creatures benefit.
Can we use living things like bacteria to make new, eco-friendly materials like bioplastics for different uses?
How similar or different are identical twins raised in separate environments, helping us understand how genes and surroundings work together?
Can changing crops using science be a solution to hunger and not having enough healthy food in some countries?
How do viruses change and spread, and how can we develop better ways to fight new viruses that appear?
Explore how amazing creatures like fireflies make their own light and see if there are ways to use this knowledge for other things.
What is the purpose of play in animals' lives, like helping them grow, socialize, or even learn?
How can tools like drones, special cameras from a distance, or other new technology be used to help protect wildlife?
How can we crack the code of DNA to understand how genes work and their role in different diseases?
As a new science tool called CRISPR lets us change genes very precisely, what are the ethical concerns and possible risks involved?
Can spending time in nature, like forests, improve how we feel mentally and physically?
What signs could we look for to find planets with potential life on them besides Earth?

STEM Topics for Research in Robotics

Robotics is a great area for exploration. Here is the topics list that merely scratches the surface of the exciting possibilities in robotics research.

How can robots be programmed to make their own decisions, like self-driving cars navigating traffic?
How can robots be equipped with sensors to "see" and understand their surroundings?
How can robots be programmed to move with precision and coordination, mimicking human actions or performing delicate tasks?
Can robots be designed to learn and improve their skills over time, adapting to new situations?
How can multiple robots work together seamlessly to achieve complex tasks?
How can robots be designed to assist people with disabilities?
How can robots be built to explore the depths of oceans and aid in underwater endeavors?
How can robots be designed to fly for tasks like search and rescue or environmental monitoring?
Can robots be built on an incredibly tiny scale for medical applications or super-precise manufacturing?
How can robots be used to assist surgeons in operating rooms?
How can robots be designed to explore space and assist astronauts?
How can robots be used in everyday life, helping with chores or providing companionship?
How can robots be designed by mimicking the movement and abilities of animals?
What are the ethical considerations in the development and use of robots?
How can robots be designed to interact with humans in a safe and user-friendly way?
How can robots be used in agriculture to automate tasks?
How can robots be used in educational settings to enhance learning?
How will the rise of robots impact the workforce?
How can robots be made more affordable and accessible?
What exciting advancements can we expect in the future of robotics?

Experimental Research Topics for STEM Students

Here are some great topics that can serve as your starting point.

Test how different light intensities affect plant growth rate.
Compare the effectiveness of compost and fertilizer on plant growth.
Experiment with different materials for water filtration and compare their efficiency.
Does playing specific types of music affect plant growth rate?
Test the strength of different bridge designs using readily available materials.
Find the optimal angle for solar panels to maximize energy production.
Compare the insulating properties of different building materials.
Test the effectiveness of different materials (straw, feathers) in absorbing oil spills.
Explore the impact of social media algorithms on user behavior.
Evaluate the effectiveness of different cybersecurity awareness training methods.
Develop and test a mobile app for learning a new language through interactive exercises.
Experiment with different blade shapes to optimize wind turbine energy generation.
Test different techniques to improve website loading speed.
Build a simple air quality monitoring system using low-cost sensors.
Investigate how different light wavelengths affect the growth rate of algae.
Compare the effectiveness of different food preservation methods (drying, salting) on food spoilage.
Test the antibacterial properties of common spices.
Investigate the impact of sleep duration on learning and memory retention.
Research the development of biodegradable packaging materials from natural resources like cellulose or mushroom mycelium.
Compare the effectiveness of different handwashing techniques in reducing bacteria.

Qualitative Research Topics for STEM Students

Qualitative research delves into the experiences, perceptions, and opinions surrounding STEM fields.

How do stellar STEM teachers inspire students to become scientists, engineers, or math whizzes?
As artificial intelligence advances, what are people's biggest concerns and hopes?
What are the hurdles women in engineering face, and how can we make the field more welcoming?
Why do some students freeze up during math tests, and how can we build their confidence?
How do different cultures approach protecting the environment?
What makes scientists passionate about their work, and what keeps them motivated?
When creating new technology, what are the ethical dilemmas developers face?
What are the best ways to explain complex scientific concepts to everyday people?
What fuels people's fascination with exploring space and sending rockets beyond Earth?
How are STEM jobs changing, and what skills will be crucial for the future workforce?
Would people be comfortable with robots becoming our companions, not just machines?
How can we create products that everyone can use, regardless of their abilities?
What makes some people hesitant about vaccines while others readily get them?
What motivates people to volunteer their time and contribute to scientific research?
Does learning to code early on give kids an edge in problem-solving?
Can games and activities make learning math less intimidating and more enjoyable?
What are people's thoughts on the ethical implications of using new technology to change genes?
What motivates people to adopt sustainable practices and protect the environment?
What are people's hopes and anxieties about using technology in medicine and healthcare?
Why do students choose to pursue careers in science, technology, engineering, or math?

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Quantitative Research Topics for STEM Students

Quantitative research uses data and statistics to uncover patterns and relationships in STEM fields.

Does the type of music played affect plant growth rate?
Investigate the relationship between light intensity and the rate of photosynthesis in plants.
Test the impact of bridge design on its weight-bearing capacity.
Analyze how the angle of solar panels affects their energy production.
Quantify the impact of different website optimization techniques on loading speed.
Explore the correlation between social media use and user engagement metrics (likes, shares).
Test the effectiveness of various spices in inhibiting bacterial growth.
Investigate the relationship between sleep duration and memory retention in students.
Compare the effectiveness of different handwashing techniques in reducing bacterial count.
Quantify the impact of play-based learning on children's problem-solving skills.
Measure the efficiency of different materials in filtering microplastics from water samples.
Compare the impact of compost and traditional fertilizer on plant growth yield.
Quantify the insulating properties of various building materials for energy efficiency.
Evaluate the effectiveness of a newly designed learning app through user performance data.
Develop and test a low-cost sensor system to measure air quality parameters.
Quantify the impact of different light wavelengths on the growth rate of algae cultures.
Compare the effectiveness of different food preservation methods (drying, salting) on food spoilage rates.
Analyze the impact of a website redesign on user engagement and retention metrics.
Quantify the effectiveness of different cybersecurity awareness training methods through simulated hacking attempts.
Investigate the relationship between website color schemes and user conversion rates (purchases, sign-ups).

Environmental Sciences Research Topics for STEM students

These environmental science topics explore the connections between our planet's ecosystems and the influence of humans.

Can we track microplastic movement (water, soil, organisms) to understand environmental accumulation?
How can we seamlessly integrate renewable energy (solar, wind) into existing power grids?
Green roofs, urban forests, permeable pavements: their impact on cityscapes and environmental health.
Sustainable forest management: balancing timber production with biodiversity conservation.
Rising CO2: impact on ocean acidity and consequences for marine ecosystems.
Nature's clean-up crew: plants/microbes for decontaminating polluted soil and water.
Evaluating conservation strategies (protected areas, patrols) for endangered species.
Citizen science: potential and limitations for environmental monitoring and data collection.
Circular economy: reducing waste, promoting product reuse/recycling in an eco-friendly framework.
Water conservation strategies: rainwater harvesting, wastewater treatment for a sustainable future.
Agricultural practices (organic vs. conventional): impact on soil health and water quality.
Lab-grown meat: environmental and ethical implications of this alternative protein source.
A potential solution for improving soil fertility and carbon sequestration.
Mangrove restoration: effectiveness in mitigating coastal erosion and providing marine habitat.
Air pollution control technologies: investigating efficiency in reducing emissions.
Climate change and extreme weather events: the link between a warming planet and weather patterns.
Responsible disposal and recycling solutions for electronic waste.
Environmental education: effectiveness in fostering pro-environmental attitudes and behaviors.
Sustainable fashion: exploring alternatives like organic materials and clothing recycling.
Smart cities: using technology to improve environmental sustainability and resource management.

Check out more science research topics in our special guide!

Health Sciences Research Topic Ideas for STEM Students

If you're curious about how the body works and how to stay healthy, these research topics are for you:

Can changing your diet affect your happiness by influencing gut bacteria?
Can your genes help doctors create a treatment plan just for you?
Can viruses that attack bacteria be a new way to fight infections?
Does getting enough sleep help students remember things better?
Can listening to music help people feel less pain during medical procedures?
Can wearable devices warn people about health problems early?
Can doctors use technology to treat people who live far away?
Can meditation techniques help people feel calmer?
Can staying active keep your brain healthy as you age?
Can computers help doctors make better diagnoses?
Can looking at social media make people feel bad about their bodies?
Why are some people hesitant to get vaccinated, and how can we encourage them?
Can scientists create materials for implants that the body won't reject?
Can we edit genes to cure diseases caused by faulty genes?
Does dirty air make it harder to breathe?
Can therapy offered online be just as helpful as in-person therapy?
Can what you eat affect your chances of getting cancer?
Can we use 3D printing to create organs for transplant surgeries?
Do artificial sweeteners harm the good bacteria in your gut?
Can laughter actually be good for your body and mind?

Interdisciplinary STEM Research Topics

Here are 20 thought-provoking questions that explore the exciting intersections between different areas of science, technology, engineering, and math:

Can video games become educational tools, boosting memory and learning for all ages?
Can artificial intelligence compose music that evokes specific emotions in listeners?
Could robots be designed to assist surgeons in complex operations with greater precision?
Does virtual reality therapy hold promise for treating phobias and anxiety?
Can big data analysis predict and prevent natural disasters, saving lives?
Is there a link between dirty air and the rise of chronic diseases in cities?
Can we develop strong, eco-friendly building materials for a sustainable future?
Could wearable tech monitor athletes' performance and prevent injuries?
Will AI advancements lead to the creation of conscious machines, blurring the line between humans and technology?
Can social media platforms be designed to promote positive interactions and reduce online bullying?
Can personalized learning algorithms improve educational outcomes for all students?
Could neuroimaging technologies unlock the secrets of human consciousness?
Will advancements in gene editing allow us to eradicate inherited diseases?
Is there a connection between gut bacteria and mental health issues like depression?
Can drones be used for efficient and safe delivery of medical supplies in remote areas?
Is there potential for using artificial intelligence to design life-saving new drugs?
Could advances in 3D printing revolutionize organ transplantation procedures?
Will vertical farming techniques offer a sustainable solution to food security concerns?
Can we harness the power of nanotechnology to create self-cleaning and self-repairing materials?
Will advancements in space exploration technology lead to the discovery of life on other planets?

STEM Topics for Research in Technology

These research topics explore how technology can solve problems, make life easier, and unlock new possibilities:

How can self-driving cars navigate busy roads safely, reducing accidents?
In what ways can robots explore the deep ocean and unlock its mysteries?
How might technology automate tasks in our homes, making them more efficient and comfortable?
What advancements are possible for directly controlling computers with our thoughts using brain-computer interfaces?
How can we develop stronger cybersecurity solutions to protect our online information and devices from hackers?
What are the methods for harnessing natural resources like wind and sun for clean energy through renewable energy sources?
How can wearable translators instantly translate languages, breaking down communication barriers?
In what ways can virtual reality allow us to explore amazing places without leaving home?
How can games and apps make learning more engaging and effective through educational tools?
What technologies can help us reduce the amount of food that gets thrown away?
How can online platforms tailor education to each student's needs with personalized learning systems?
What new technologies can help us travel farther and learn more about space?
How can desalination techniques turn saltwater into clean drinking water for everyone?
What are the ways drones can deliver aid and supplies quickly and efficiently in emergencies?
How can robots allow doctors to remotely examine and treat patients in distant locations?
What possibilities exist for 3D printers to create customized medical devices and prosthetics?
How can technology overlay information onto the real world, enhancing our learning and experiences with augmented reality tools?
What methods can we use for secure access to devices and information with biometric security systems?
How can AI help us develop strategies to combat climate change?
In what ways can we ensure technology benefits everyone and is used ethically?

While you're researching these STEM topics, learn more about how to get better at math in our dedicated article.

How Do You Choose a Research Topic in STEM?

Choosing research topics for STEM students can be an exciting task. Here are several tips to help you find a topic that is both unique and meaningful:

Identify Your Interests: Start by considering what areas of STEM excite you the most. Do you have a passion for renewable energy, artificial intelligence, biomedical engineering, or environmental science? Your interest in the subject will keep you motivated throughout the research process.
Review Current Research: Conduct a thorough review of existing research in your field. Read recent journal articles, attend seminars, and follow relevant news. This will help you understand what has already been studied and where there might be gaps or opportunities for new research.
Consult with Experts: Talking to professors, advisors, or professionals in your field can provide valuable insights. They can help you identify important research questions, suggest resources, and guide you toward a feasible and impactful topic.
Consider Real-World Problems: Think about the practical applications of your research. Focus on real-world problems that need solutions. This not only makes your research more relevant but also increases its potential impact.
Narrow Down Your Focus: A broad topic can be overwhelming and difficult to manage. Narrow down your focus to a specific question or problem. This will make your research more manageable and allow you to delve deeper into the subject.
Assess Feasibility: Consider the resources and time available to you. Ensure that you have access to the necessary equipment, data, and expertise to complete your research. A feasible topic will help you stay on track and complete your project successfully.
Stay Flexible: Be open to adjusting your topic as you delve deeper into your research. Sometimes, initial ideas may need refinement based on new findings or practical constraints.

These research topics have shown us a glimpse of the exciting things happening in science, technology, engineering, and math (STEM). From understanding our planet to figuring out how the human body works, STEM fields are full of new things to learn and problems to solve.

Don't be afraid to challenge ideas and work with others to find answers. The future of STEM belongs to people who think carefully, try new things, and want to make the world a better place. Remember the famous scientist Albert Einstein, who said, "It is important never to stop asking questions. Curiosity has its own reason for existing."

Drowning in Data Analysis or Struggling to Craft a Strong Argument?

Don't let a challenging STEM research paper derail your academics!

What is STEM in Research?

What are the keys to success in stem fields, what should women in stem look for in a college.

is an expert in nursing and healthcare, with a strong background in history, law, and literature. Holding advanced degrees in nursing and public health, his analytical approach and comprehensive knowledge help students navigate complex topics. On EssayPro blog, Adam provides insightful articles on everything from historical analysis to the intricacies of healthcare policies. In his downtime, he enjoys historical documentaries and volunteering at local clinics.

Trending Topic Research: STEM . (n.d.). Www.aera.net. Retrieved July 15, 2024, from https://www.aera.net/Newsroom/Trending-Topic-Research-Files/Trending-Topic-Research-STEM

Open access
Published: 10 March 2020

Research and trends in STEM education: a systematic review of journal publications

Yeping Li 1 ,
Ke Wang 2 ,
Yu Xiao 1 &
Jeffrey E. Froyd 3

International Journal of STEM Education volume 7 , Article number: 11 ( 2020 ) Cite this article

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With the rapid increase in the number of scholarly publications on STEM education in recent years, reviews of the status and trends in STEM education research internationally support the development of the field. For this review, we conducted a systematic analysis of 798 articles in STEM education published between 2000 and the end of 2018 in 36 journals to get an overview about developments in STEM education scholarship. We examined those selected journal publications both quantitatively and qualitatively, including the number of articles published, journals in which the articles were published, authorship nationality, and research topic and methods over the years. The results show that research in STEM education is increasing in importance internationally and that the identity of STEM education journals is becoming clearer over time.

Introduction

A recent review of 144 publications in the International Journal of STEM Education ( IJ - STEM ) showed how scholarship in science, technology, engineering, and mathematics (STEM) education developed between August 2014 and the end of 2018 through the lens of one journal (Li, Froyd, & Wang, 2019 ). The review of articles published in only one journal over a short period of time prompted the need to review the status and trends in STEM education research internationally by analyzing articles published in a wider range of journals over a longer period of time.

With global recognition of the growing importance of STEM education, we have witnessed the urgent need to support research and scholarship in STEM education (Li, 2014 , 2018a ). Researchers and educators have responded to this on-going call and published their scholarly work through many different publication outlets including journals, books, and conference proceedings. A simple Google search with the term “STEM,” “STEM education,” or “STEM education research” all returned more than 450,000,000 items. Such voluminous information shows the rapidly evolving and vibrant field of STEM education and sheds light on the volume of STEM education research. In any field, it is important to know and understand the status and trends in scholarship for the field to develop and be appropriately supported. This applies to STEM education.

Conducting systematic reviews to explore the status and trends in specific disciplines is common in educational research. For example, researchers surveyed the historical development of research in mathematics education (Kilpatrick, 1992 ) and studied patterns in technology usage in mathematics education (Bray & Tangney, 2017 ; Sokolowski, Li, & Willson, 2015 ). In science education, Tsai and his colleagues have conducted a sequence of reviews of journal articles to synthesize research trends in every 5 years since 1998 (i.e., 1998–2002, 2003–2007, 2008–2012, and 2013–2017), based on publications in three main science education journals including, Science Education , the International Journal of Science Education , and the Journal of Research in Science Teaching (e.g., Lin, Lin, Potvin, & Tsai, 2019 ; Tsai & Wen, 2005 ). Erduran, Ozdem, and Park ( 2015 ) reviewed argumentation in science education research from 1998 to 2014 and Minner, Levy, and Century ( 2010 ) reviewed inquiry-based science instruction between 1984 and 2002. There are also many literature reviews and syntheses in engineering and technology education (e.g., Borrego, Foster, & Froyd, 2015 ; Xu, Williams, Gu, & Zhang, 2019 ). All of these reviews have been well received in different fields of traditional disciplinary education as they critically appraise and summarize the state-of-art of relevant research in a field in general or with a specific focus. Both types of reviews have been conducted with different methods for identifying, collecting, and analyzing relevant publications, and they differ in terms of review aim and topic scope, time period, and ways of literature selection. In this review, we systematically analyze journal publications in STEM education research to overview STEM education scholarship development broadly and globally.

The complexity and ambiguity of examining the status and trends in STEM education research

A review of research development in a field is relatively straight forward, when the field is mature and its scope can be well defined. Unlike discipline-based education research (DBER, National Research Council, 2012 ), STEM education is not a well-defined field. Conducting a comprehensive literature review of STEM education research require careful thought and clearly specified scope to tackle the complexity naturally associated with STEM education. In the following sub-sections, we provide some further discussion.

Diverse perspectives about STEM and STEM education

STEM education as explicated by the term does not have a long history. The interest in helping students learn across STEM fields can be traced back to the 1990s when the US National Science Foundation (NSF) formally included engineering and technology with science and mathematics in undergraduate and K-12 school education (e.g., National Science Foundation, 1998 ). It coined the acronym SMET (science, mathematics, engineering, and technology) that was subsequently used by other agencies including the US Congress (e.g., United States Congress House Committee on Science, 1998 ). NSF also coined the acronym STEM to replace SMET (e.g., Christenson, 2011 ; Chute, 2009 ) and it has become the acronym of choice. However, a consensus has not been reached on the disciplines included within STEM.

To clarify its intent, NSF published a list of approved fields it considered under the umbrella of STEM (see http://bit.ly/2Bk1Yp5 ). The list not only includes disciplines widely considered under the STEM tent (called “core” disciplines, such as physics, chemistry, and materials research), but also includes disciplines in psychology and social sciences (e.g., political science, economics). However, NSF’s list of STEM fields is inconsistent with other federal agencies. Gonzalez and Kuenzi ( 2012 ) noted that at least two US agencies, the Department of Homeland Security and Immigration and Customs Enforcement, use a narrower definition that excludes social sciences. Researchers also view integration across different disciplines of STEM differently using various terms such as, multidisciplinary, interdisciplinary, and transdisciplinary (Vasquez, Sneider, & Comer, 2013 ). These are only two examples of the ambiguity and complexity in describing and specifying what constitutes STEM.

Multiple perspectives about the meaning of STEM education adds further complexity to determining the extent to which scholarly activity can be categorized as STEM education. For example, STEM education can be viewed with a broad and inclusive perspective to include education in the individual disciplines of STEM, i.e., science education, technology education, engineering education, and mathematics education, as well as interdisciplinary or cross-disciplinary combinations of the individual STEM disciplines (English, 2016 ; Li, 2014 ). On the other hand, STEM education can be viewed by others as referring only to interdisciplinary or cross-disciplinary combinations of the individual STEM disciplines (Honey, Pearson, & Schweingruber, 2014 ; Johnson, Peters-Burton, & Moore, 2015 ; Kelley & Knowles, 2016 ; Li, 2018a ). These multiple perspectives allow scholars to publish articles in a vast array and diverse journals, as long as journals are willing to take the position as connected with STEM education. At the same time, however, the situation presents considerable challenges for researchers intending to locate, identify, and classify publications as STEM education research. To tackle such challenges, we tried to find out what we can learn from prior reviews related to STEM education.

Guidance from prior reviews related to STEM education

A search for reviews of STEM education research found multiple reviews that could suggest approaches for identifying publications (e.g., Brown, 2012 ; Henderson, Beach, & Finkelstein, 2011 ; Kim, Sinatra, & Seyranian, 2018 ; Margot & Kettler, 2019 ; Minichiello, Hood, & Harkness, 2018 ; Mizell & Brown, 2016 ; Thibaut et al., 2018 ; Wu & Rau, 2019 ). The review conducted by Brown ( 2012 ) examined the research base of STEM education. He addressed the complexity and ambiguity by confining the review with publications in eight journals, two in each individual discipline, one academic research journal (e.g., the Journal of Research in Science Teaching ) and one practitioner journal (e.g., Science Teacher ). Journals were selected based on suggestions from some faculty members and K-12 teachers. Out of 1100 articles published in these eight journals from January 1, 2007, to October 1, 2010, Brown located 60 articles that authors self-identified as connected to STEM education. He found that the vast majority of these 60 articles focused on issues beyond an individual discipline and there was a research base forming for STEM education. In a follow-up study, Mizell and Brown ( 2016 ) reviewed articles published from January 2013 to October 2015 in the same eight journals plus two additional journals. Mizell and Brown used the same criteria to identify and include articles that authors self-identified as connected to STEM education, i.e., if the authors included STEM in the title or author-supplied keywords. In comparison to Brown’s findings, they found that many more STEM articles were published in a shorter time period and by scholars from many more different academic institutions. Taking together, both Brown ( 2012 ) and Mizell and Brown ( 2016 ) tended to suggest that STEM education mainly consists of interdisciplinary or cross-disciplinary combinations of the individual STEM disciplines, but their approach consisted of selecting a limited number of individual discipline-based journals and then selecting articles that authors self-identified as connected to STEM education.

In contrast to reviews on STEM education, in general, other reviews focused on specific issues in STEM education (e.g., Henderson et al., 2011 ; Kim et al., 2018 ; Margot & Kettler, 2019 ; Minichiello et al., 2018 ; Schreffler, Vasquez III, Chini, & James, 2019 ; Thibaut et al., 2018 ; Wu & Rau, 2019 ). For example, the review by Henderson et al. ( 2011 ) focused on instructional change in undergraduate STEM courses based on 191 conceptual and empirical journal articles published between 1995 and 2008. Margot and Kettler ( 2019 ) focused on what is known about teachers’ values, beliefs, perceived barriers, and needed support related to STEM education based on 25 empirical journal articles published between 2000 and 2016. The focus of these reviews allowed the researchers to limit the number of articles considered, and they typically used keyword searches of selected databases to identify articles on STEM education. Some researchers used this approach to identify publications from journals only (e.g., Henderson et al., 2011 ; Margot & Kettler, 2019 ; Schreffler et al., 2019 ), and others selected and reviewed publications beyond journals (e.g., Minichiello et al., 2018 ; Thibaut et al., 2018 ; Wu & Rau, 2019 ).

The discussion in this section suggests possible reasons contributing to the absence of a general literature review of STEM education research and development: (1) diverse perspectives in existence about STEM and STEM education that contribute to the difficulty of specifying a scope of literature review, (2) its short but rapid development history in comparison to other discipline-based education (e.g., science education), and (3) difficulties in deciding how to establish the scope of the literature review. With respect to the third reason, prior reviews have used one of two approaches to identify and select articles: (a) identifying specific journals first and then searching and selecting specific articles from these journals (e.g., Brown, 2012 ; Erduran et al., 2015 ; Mizell & Brown, 2016 ) and (b) conducting selected database searches with keywords based on a specific focus (e.g., Margot & Kettler, 2019 ; Thibaut et al., 2018 ). However, neither the first approach of selecting a limited number of individual discipline-based journals nor the second approach of selecting a specific focus for the review leads to an approach that provides a general overview of STEM education scholarship development based on existing journal publications.

Current review

Two issues were identified in setting the scope for this review.

What time period should be considered?

What publications will be selected for review?

Time period

We start with the easy one first. As discussed above, the acronym STEM did exist until the early 2000s. Although the existence of the acronym does not generate scholarship on student learning in STEM disciplines, it is symbolic and helps focus attention to efforts in STEM education. Since we want to examine the status and trends in STEM education, it is reasonable to start with the year 2000. Then, we can use the acronym of STEM as an identifier in locating specific research articles in a way as done by others (e.g., Brown, 2012 ; Mizell & Brown, 2016 ). We chose the end of 2018 as the end of the time period for our review that began during 2019.

Focusing on publications beyond individual discipline-based journals

As mentioned before, scholars responded to the call for scholarship development in STEM education with publications that appeared in various outlets and diverse languages, including journals, books, and conference proceedings. However, journal publications are typically credited and valued as one of the most important outlets for research exchange (e.g., Erduran et al., 2015 ; Henderson et al., 2011 ; Lin et al., 2019 ; Xu et al., 2019 ). Thus, in this review, we will also focus on articles published in journals in English.

The discourse above on the complexity and ambiguity regarding STEM education suggests that scholars may publish their research in a wide range of journals beyond individual discipline-based journals. To search and select articles from a wide range of journals, we thought about the approach of searching selected databases with keywords as other scholars used in reviewing STEM education with a specific focus. However, existing journals in STEM education do not have a long history. In fact, IJ-STEM is the first journal in STEM education that has just been accepted into the Social Sciences Citation Index (SSCI) (Li, 2019a ). Publications in many STEM education journals are practically not available in several important and popular databases, such as the Web of Science and Scopus. Moreover, some journals in STEM education were not normalized due to a journal’s name change or irregular publication schedule. For example, the Journal of STEM Education was named as Journal of SMET Education when it started in 2000 in a print format, and the journal’s name was not changed until 2003, Vol 4 (3 and 4), and also went fully on-line starting 2004 (Raju & Sankar, 2003 ). A simple Google Scholar search with keywords will not be able to provide accurate information, unless you visit the journal’s website to check all publications over the years. Those added complexities prevented us from taking the database search as a viable approach. Thus, we decided to identify journals first and then search and select articles from these journals. Further details about the approach are provided in the “ Method ” section.

Research questions

Given a broader range of journals and a longer period of time to be covered in this review, we can examine some of the same questions as the IJ-STEM review (Li, Froyd, & Wang, 2019 ), but we do not have access to data on readership, articles accessed, or articles cited for the other journals selected for this review. Specifically, we are interested in addressing the following six research questions:

What were the status and trends in STEM education research from 2000 to the end of 2018 based on journal publications?

What were the patterns of publications in STEM education research across different journals?

Which countries or regions, based on the countries or regions in which authors were located, contributed to journal publications in STEM education?

What were the patterns of single-author and multiple-author publications in STEM education?

What main topics had emerged in STEM education research based on the journal publications?

What research methods did authors tend to use in conducting STEM education research?

Based on the above discussion, we developed the methods for this literature review to follow careful sequential steps to identify journals first and then identify and select STEM education research articles published in these journals from January 2000 to the end of 2018. The methods should allow us to obtain a comprehensive overview about the status and trends of STEM education research based on a systematic analysis of related publications from a broad range of journals and over a longer period of time.

Identifying journals

We used the following three steps to search and identify journals for inclusion:

We assumed articles on research in STEM education have been published in journals that involve more than one traditional discipline. Thus, we used Google to search and identify all education journals with their titles containing either two, three, or all four disciplines of STEM. For example, we did Google search of all the different combinations of three areas of science, mathematics, technology Footnote 1 , and engineering as contained in a journal’s title. In addition, we also searched possible journals containing the word STEAM in the title.

Since STEM education may be viewed as encompassing discipline-based education research, articles on STEM education research may have been published in traditional discipline-based education journals, such as the Journal of Research in Science Teaching . However, there are too many such journals. Yale’s Poorvu Center for Teaching and Learning has listed 16 journals that publish articles spanning across undergraduate STEM education disciplines (see https://poorvucenter.yale.edu/FacultyResources/STEMjournals ). Thus, we selected from the list some individual discipline-based education research journals, and also added a few more common ones such as the Journal of Engineering Education .

Since articles on research in STEM education have appeared in some general education research journals, especially those well-established ones. Thus, we identified and selected a few of those journals that we noticed some publications in STEM education research.

Following the above three steps, we identified 45 journals (see Table 1 ).

Identifying articles

In this review, we will not discuss or define the meaning of STEM education. We used the acronym STEM (or STEAM, or written as the phrase of “science, technology, engineering, and mathematics”) as a term in our search of publication titles and/or abstracts. To identify and select articles for review, we searched all items published in those 45 journals and selected only those articles that author(s) self-identified with the acronym STEM (or STEAM, or written as the phrase of “science, technology, engineering, and mathematics”) in the title and/or abstract. We excluded publications in the sections of practices, letters to editors, corrections, and (guest) editorials. Our search found 798 publications that authors self-identified as in STEM education, identified from 36 journals. The remaining 9 journals either did not have publications that met our search terms or published in another language other than English (see the two separate lists in Table 1 ).

Data analysis

To address research question 3, we analyzed authorship to examine which countries/regions contributed to STEM education research over the years. Because each publication may have either one or multiple authors, we used two different methods to analyze authorship nationality that have been recognized as valuable from our review of IJ-STEM publications (Li, Froyd, & Wang, 2019 ). The first method considers only the corresponding author’s (or the first author, if no specific indication is given about the corresponding author) nationality and his/her first institution affiliation, if multiple institution affiliations are listed. Method 2 considers every author of a publication, using the following formula (Howard, Cole, & Maxwell, 1987 ) to quantitatively assign and estimate each author’s contribution to a publication (and thus associated institution’s productivity), when multiple authors are included in a publication. As an example, each publication is given one credit point. For the publication co-authored by two, the first author would be given 0.6 and the second author 0.4 credit point. For an article contributed jointly by three authors, the three authors would be credited with scores of 0.47, 0.32, and 0.21, respectively.

After calculating all the scores for each author of each paper, we added all the credit scores together in terms of each author’s country/region. For brevity, we present only the top 10 countries/regions in terms of their total credit scores calculated using these two different methods, respectively.

To address research question 5, we used the same seven topic categories identified and used in our review of IJ-STEM publications (Li, Froyd, & Wang, 2019 ). We tested coding 100 articles first to ensure the feasibility. Through test-coding and discussions, we found seven topic categories could be used to examine and classify all 798 items.

K-12 teaching, teacher, and teacher education in STEM (including both pre-service and in-service teacher education)

Post-secondary teacher and teaching in STEM (including faculty development, etc.)

K-12 STEM learner, learning, and learning environment

Post-secondary STEM learner, learning, and learning environments (excluding pre-service teacher education)

Policy, curriculum, evaluation, and assessment in STEM (including literature review about a field in general)

Culture and social and gender issues in STEM education

History, epistemology, and perspectives about STEM and STEM education

To address research question 6, we coded all 798 publications in terms of (1) qualitative methods, (2) quantitative methods, (3) mixed methods, and (4) non-empirical studies (including theoretical or conceptual papers, and literature reviews). We assigned each publication to only one research topic and one method, following the process used in the IJ-STEM review (Li, Froyd, & Wang, 2019 ). When there was more than one topic or method that could have been used for a publication, a decision was made in choosing and assigning a topic or a method. The agreement between two coders for all 798 publications was 89.5%. When topic and method coding discrepancies occurred, a final decision was reached after discussion.

Results and discussion

In the following sections, we report findings as corresponding to each of the six research questions.

The status and trends of journal publications in STEM education research from 2000 to 2018

Figure 1 shows the number of publications per year. As Fig. 1 shows, the number of publications increased each year beginning in 2010. There are noticeable jumps from 2015 to 2016 and from 2017 to 2018. The result shows that research in STEM education had grown significantly since 2010, and the most recent large number of STEM education publications also suggests that STEM education research gained its own recognition by many different journals for publication as a hot and important topic area.

The distribution of STEM education publications over the years

Among the 798 articles, there were 549 articles with the word “STEM” (or STEAM, or written with the phrase of “science, technology, engineering, and mathematics”) included in the article’s title or both title and abstract and 249 articles without such identifiers included in the title but abstract only. The results suggest that many scholars tended to include STEM in the publications’ titles to highlight their research in or about STEM education. Figure 2 shows the number of publications per year where publications are distinguished depending on whether they used the term STEM in the title or only in the abstract. The number of publications in both categories had significant increases since 2010. Use of the acronym STEM in the title was growing at a faster rate than using the acronym only in the abstract.

The trends of STEM education publications with vs. without STEM included in the title

Not all the publications that used the acronym STEM in the title and/or abstract reported on a study involving all four STEM areas. For each publication, we further examined the number of the four areas involved in the reported study.

Figure 3 presents the number of publications categorized by the number of the four areas involved in the study, breaking down the distribution of these 798 publications in terms of the content scope being focused on. Studies involving all four STEM areas are the most numerous with 488 (61.2%) publications, followed by involving one area (141, 17.7%), then studies involving both STEM and non-STEM (84, 10.5%), and finally studies involving two or three areas of STEM (72, 9%; 13, 1.6%; respectively). Publications that used the acronym STEAM in either the title or abstract were classified as involving both STEM and non-STEM. For example, both of the following publications were included in this category.

Dika and D’Amico ( 2016 ). “Early experiences and integration in the persistence of first-generation college students in STEM and non-STEM majors.” Journal of Research in Science Teaching , 53 (3), 368–383. (Note: this article focused on early experience in both STEM and Non-STEM majors.)

Sochacka, Guyotte, and Walther ( 2016 ). “Learning together: A collaborative autoethnographic exploration of STEAM (STEM+ the Arts) education.” Journal of Engineering Education , 105 (1), 15–42. (Note: this article focused on STEAM (both STEM and Arts).)

Publication distribution in terms of content scope being focused on. (Note: 1=single subject of STEM, 2=two subjects of STEM, 3=three subjects of STEM, 4=four subjects of STEM, 5=topics related to both STEM and non-STEM)

Figure 4 presents the number of publications per year in each of the five categories described earlier (category 1, one area of STEM; category 2, two areas of STEM; category 3, three areas of STEM; category 4, four areas of STEM; category 5, STEM and non-STEM). The category that had grown most rapidly since 2010 is the one involving all four areas. Recent growth in the number of publications in category 1 likely reflected growing interest of traditional individual disciplinary based educators in developing and sharing multidisciplinary and interdisciplinary scholarship in STEM education, as what was noted recently by Li and Schoenfeld ( 2019 ) with publications in IJ-STEM.

Publication distribution in terms of content scope being focused on over the years

Patterns of publications across different journals

Among the 36 journals that published STEM education articles, two are general education research journals (referred to as “subject-0”), 12 with their titles containing one discipline of STEM (“subject-1”), eight with journal’s titles covering two disciplines of STEM (“subject-2”), six covering three disciplines of STEM (“subject-3”), seven containing the word STEM (“subject-4”), and one in STEAM education (“subject-5”).

Table 2 shows that both subject-0 and subject-1 journals were usually mature journals with a long history, and they were all traditional subscription-based journals, except the Journal of Pre - College Engineering Education Research , a subject-1 journal established in 2011 that provided open access (OA). In comparison to subject-0 and subject-1 journals, subject-2 and subject-3 journals were relatively newer but still had quite many years of history on average. There are also some more journals in these two categories that provided OA. Subject-4 and subject-5 journals had a short history, and most provided OA. The results show that well-established journals had tended to focus on individual disciplines or education research in general. Multidisciplinary and interdisciplinary education journals were started some years later, followed by the recent establishment of several STEM or STEAM journals.

Table 2 also shows that subject-1, subject-2, and subject-4 journals published approximately a quarter each of the publications. The number of publications in subject-1 journals is interested, because we selected a relatively limited number of journals in this category. There are many other journals in the subject-1 category (as well as subject-0 journals) that we did not select, and thus it is very likely that we did not include some STEM education articles published in subject-0 or subject-1 journals that we did not include in our study.

Figure 5 shows the number of publications per year in each of the five categories described earlier (subject-0 through subject-5). The number of publications per year in subject-5 and subject-0 journals did not change much over the time period of the study. On the other hand, the number of publications per year in subject-4 (all 4 areas), subject-1 (single area), and subject-2 journals were all over 40 by the end of the study period. The number of publications per year in subject-3 journals increased but remained less than 30. At first sight, it may be a bit surprising that the number of publications in STEM education per year in subject-1 journals increased much faster than those in subject-2 journals over the past few years. However, as Table 2 indicates these journals had long been established with great reputations, and scholars would like to publish their research in such journals. In contrast to the trend in subject-1 journals, the trend in subject-4 journals suggests that STEM education journals collectively started to gain its own identity for publishing and sharing STEM education research.

STEM education publication distribution across different journal categories over the years. (Note: 0=subject-0; 1=subject-1; 2=subject-2; 3=subject-3; 4=subject-4; 5=subject-5)

Figure 6 shows the number of STEM education publications in each journal where the bars are color-coded (yellow, subject-0; light blue, subject-1; green, subject-2; purple, subject-3; dark blue, subject-4; and black, subject-5). There is no clear pattern shown in terms of the overall number of STEM education publications across categories or journals, but very much individual journal-based performance. The result indicates that the number of STEM education publications might heavily rely on the individual journal’s willingness and capability of attracting STEM education research work and thus suggests the potential value of examining individual journal’s performance.

Publication distribution across all 36 individual journals across different categories with the same color-coded for journals in the same subject category

The top five journals in terms of the number of STEM education publications are Journal of Science Education and Technology (80 publications, journal number 25 in Fig. 6 ), Journal of STEM Education (65 publications, journal number 26), International Journal of STEM Education (64 publications, journal number 17), International Journal of Engineering Education (54 publications, journal number 12), and School Science and Mathematics (41 publications, journal number 31). Among these five journals, two journals are specifically on STEM education (J26, J17), two on two subjects of STEM (J25, J31), and one on one subject of STEM (J12).

Figure 7 shows the number of STEM education publications per year in each of these top five journals. As expected, based on earlier trends, the number of publications per year increased over the study period. The largest increase was in the International Journal of STEM Education (J17) that was established in 2014. As the other four journals were all established in or before 2000, J17’s short history further suggests its outstanding performance in attracting and publishing STEM education articles since 2014 (Li, 2018b ; Li, Froyd, & Wang, 2019 ). The increase was consistent with the journal’s recognition as the first STEM education journal for inclusion in SSCI starting in 2019 (Li, 2019a ).

Publication distribution of selected five journals over the years. (Note: J12: International Journal of Engineering Education; J17: International Journal of STEM Education; J25: Journal of Science Education and Technology; J26: Journal of STEM Education; J31: School Science and Mathematics)

Top 10 countries/regions where scholars contributed journal publications in STEM education

Table 3 shows top countries/regions in terms of the number of publications, where the country/region was established by the authorship using the two different methods presented above. About 75% (depending on the method) of contributions were made by authors from the USA, followed by Australia, Canada, Taiwan, and UK. Only Africa as a continent was not represented among the top 10 countries/regions. The results are relatively consistent with patterns reported in the IJ-STEM study (Li, Froyd, & Wang, 2019 )

Further examination of Table 3 reveals that the two methods provide not only fairly consistent results but also yield some differences. For example, Israel and Germany had more publication credit if only the corresponding author was considered, but South Korea and Turkey had more publication credit when co-authors were considered. The results in Table 3 show that each method has value when analyzing and comparing publications by country/region or institution based on authorship.

Recognizing that, as shown in Fig. 1 , the number of publications per year increased rapidly since 2010, Table 4 shows the number of publications by country/region over a 10-year period (2009–2018) and Table 5 shows the number of publications by country/region over a 5-year period (2014–2018). The ranks in Tables 3 , 4 , and 5 are fairly consistent, but that would be expected since the larger numbers of publications in STEM education had occurred in recent years. At the same time, it is interesting to note in Table 5 some changes over the recent several years with Malaysia, but not Israel, entering the top 10 list when either method was used to calculate author's credit.

Patterns of single-author and multiple-author publications in STEM education

Since STEM education differs from traditional individual disciplinary education, we are interested in determining how common joint co-authorship with collaborations was in STEM education articles. Figure 8 shows that joint co-authorship was very common among these 798 STEM education publications, with 83.7% publications with two or more co-authors. Publications with two, three, or at least five co-authors were highest, with 204, 181, and 157 publications, respectively.

Number of publications with single or different joint authorship. (Note: 1=single author; 2=two co-authors; 3=three co-authors; 4=four co-authors; 5=five or more co-authors)

Figure 9 shows the number of publications per year using the joint authorship categories in Fig. 8 . Each category shows an increase consistent with the increase shown in Fig. 1 for all 798 publications. By the end of the time period, the number of publications with two, three, or at least five co-authors was the largest, which might suggest an increase in collaborations in STEM education research.

Publication distribution with single or different joint authorship over the years. (Note: 1=single author; 2=two co-authors; 3=three co-authors; 4=four co-authors; 5=five or more co-authors)

Co-authors can be from the same or different countries/regions. Figure 10 shows the number of publications per year by single authors (no collaboration), co-authors from the same country (collaboration in a country/region), and co-authors from different countries (collaboration across countries/regions). Each year the largest number of publications was by co-authors from the same country, and the number increased dramatically during the period of the study. Although the number of publications in the other two categories increased, the numbers of publications were noticeably fewer than the number of publications by co-authors from the same country.

Publication distribution in authorship across different categories in terms of collaboration over the years

Published articles by research topics

Figure 11 shows the number of publications in each of the seven topic categories. The topic category of goals, policy, curriculum, evaluation, and assessment had almost half of publications (375, 47%). Literature reviews were included in this topic category, as providing an overview assessment of education and research development in a topic area or a field. Sample publications included in this category are listed as follows:

DeCoito ( 2016 ). “STEM education in Canada: A knowledge synthesis.” Canadian Journal of Science , Mathematics and Technology Education , 16 (2), 114–128. (Note: this article provides a national overview of STEM initiatives and programs, including success, criteria for effective programs and current research in STEM education.)

Ring-Whalen, Dare, Roehrig, Titu, and Crotty ( 2018 ). “From conception to curricula: The role of science, technology, engineering, and mathematics in integrated STEM units.” International Journal of Education in Mathematics Science and Technology , 6 (4), 343–362. (Note: this article investigates the conceptions of integrated STEM education held by in-service science teachers through the use of photo-elicitation interviews and examines how those conceptions were reflected in teacher-created integrated STEM curricula.)

Schwab et al. ( 2018 ). “A summer STEM outreach program run by graduate students: Successes, challenges, and recommendations for implementation.” Journal of Research in STEM Education , 4 (2), 117–129. (Note: the article details the organization and scope of the Foundation in Science and Mathematics Program and evaluates this program.)

Frequencies of publications’ research topic distributions. (Note: 1=K-12 teaching, teacher and teacher education; 2=Post-secondary teacher and teaching; 3=K-12 STEM learner, learning, and learning environment; 4=Post-secondary STEM learner, learning, and learning environments; 5=Goals and policy, curriculum, evaluation, and assessment (including literature review); 6=Culture, social, and gender issues; 7=History, philosophy, Epistemology, and nature of STEM and STEM education)

The topic with the second most publications was “K-12 teaching, teacher and teacher education” (103, 12.9%), followed closely by “K-12 learner, learning, and learning environment” (97, 12.2%). The results likely suggest the research community had a broad interest in both teaching and learning in K-12 STEM education. The top three topics were the same in the IJ-STEM review (Li, Froyd, & Wang, 2019 ).

Figure 11 also shows there was a virtual tie between two topics with the fourth most cumulative publications, “post-secondary STEM learner & learning” (76, 9.5%) and “culture, social, and gender issues in STEM” (78, 9.8%), such as STEM identity, students’ career choices in STEM, and inclusion. This result is different from the IJ-STEM review (Li, Froyd, & Wang, 2019 ), where “post-secondary STEM teacher & teaching” and “post-secondary STEM learner & learning” were tied as the fourth most common topics. This difference is likely due to the scope of journals and the length of the time period being reviewed.

Figure 12 shows the number of publications per year in each topic category. As expected from the results in Fig. 11 the number of publications in topic category 5 (goals, policy, curriculum, evaluation, and assessment) was the largest each year. The numbers of publications in topic category 3 (K-12 learner, learning, and learning environment), 1 (K-12 teaching, teacher, and teacher education), 6 (culture, social, and gender issues in STEM), and 4 (post-secondary STEM learner and learning) were also increasing. Although Fig. 11 shows the number of publications in topic category 1 was slightly more than the number of publications in topic category 3 (see Fig. 11 ), the number of publications in topic category 3 was increasing more rapidly in recent years than its counterpart in topic category 1. This may suggest a more rapidly growing interest in K-12 STEM learner, learning, and learning environment. The numbers of publications in topic categories 2 and 7 were not increasing, but the number of publications in IJ-STEM in topic category 2 was notable (Li, Froyd, & Wang, 2019 ). It will be interesting to follow trends in the seven topic categories in the future.

Publication distributions in terms of research topics over the years

Published articles by research methods

Figure 13 shows the number of publications per year by research methods in empirical studies. Publications with non-empirical studies are shown in a separate category. Although the number of publications in each of the four categories increased during the study period, there were many more publications presenting empirical studies than those without. For those with empirical studies, the number of publications using quantitative methods increased most rapidly in recent years, followed by qualitative and then mixed methods. Although there were quite many publications with non-empirical studies (e.g., theoretical or conceptual papers, literature reviews) during the study period, the increase of the number of publications in this category was noticeably less than empirical studies.

Publication distributions in terms of research methods over the years. (Note: 1=qualitative, 2=quantitative, 3=mixed, 4=Non-empirical)

Concluding remarks

The systematic analysis of publications that were considered to be in STEM education in 36 selected journals shows tremendous growth in scholarship in this field from 2000 to 2018, especially over the past 10 years. Our analysis indicates that STEM education research has been increasingly recognized as an important topic area and studies were being published across many different journals. Scholars still hold diverse perspectives about how research is designated as STEM education; however, authors have been increasingly distinguishing their articles with STEM, STEAM, or related words in the titles, abstracts, and lists of keywords during the past 10 years. Moreover, our systematic analysis shows a dramatic increase in the number of publications in STEM education journals in recent years, which indicates that these journals have been collectively developing their own professional identity. In addition, the International Journal of STEM Education has become the first STEM education journal to be accepted in SSCI in 2019 (Li, 2019a ). The achievement may mark an important milestone as STEM education journals develop their own identity for publishing and sharing STEM education research.

Consistent with our previous reviews (Li, Froyd, & Wang, 2019 ; Li, Wang, & Xiao, 2019 ), the vast majority of publications in STEM education research were contributed by authors from the USA, where STEM and STEAM education originated, followed by Australia, Canada, and Taiwan. At the same time, authors in some countries/regions in Asia were becoming very active in the field over the past several years. This trend is consistent with findings from the IJ-STEM review (Li, Froyd, & Wang, 2019 ). We certainly hope that STEM education scholarship continues its development across all five continents to support educational initiatives and programs in STEM worldwide.

Our analysis has shown that collaboration, as indicated by publications with multiple authors, has been very common among STEM education scholars, as that is often how STEM education distinguishes itself from the traditional individual disciplinary based education. Currently, most collaborations occurred among authors from the same country/region, although collaborations across cross-countries/regions were slowly increasing.

With the rapid changes in STEM education internationally (Li, 2019b ), it is often difficult for researchers to get an overall sense about possible hot topics in STEM education especially when STEM education publications appeared in a vast array of journals across different fields. Our systematic analysis of publications has shown that studies in the topic category of goals, policy, curriculum, evaluation, and assessment have been the most prevalent, by far. Our analysis also suggests that the research community had a broad interest in both teaching and learning in K-12 STEM education. These top three topic categories are the same as in the IJ-STEM review (Li, Froyd, & Wang, 2019 ). Work in STEM education will continue to evolve and it will be interesting to review the trends in another 5 years.

Encouraged by our recent IJ-STEM review, we began this review with an ambitious goal to provide an overview of the status and trends of STEM education research. In a way, this systematic review allowed us to achieve our initial goal with a larger scope of journal selection over a much longer period of publication time. At the same time, there are still limitations, such as the decision to limit the number of journals from which we would identify publications for analysis. We understand that there are many publications on STEM education research that were not included in our review. Also, we only identified publications in journals. Although this is one of the most important outlets for scholars to share their research work, future reviews could examine publications on STEM education research in other venues such as books, conference proceedings, and grant proposals.

Availability of data and materials

The data and materials used and analyzed for the report are publicly available at the various journal websites.

Journals containing the word "computers" or "ICT" appeared automatically when searching with the word "technology". Thus, the word of "computers" or "ICT" was taken as equivalent to "technology" if appeared in a journal's name.

Abbreviations

Information and Communications Technology

International Journal of STEM Education

Kindergarten–Grade 12

Science, Mathematics, Engineering, and Technology

Science, Technology, Engineering, Arts, and Mathematics

Science, Technology, Engineering, and Mathematics

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Home » 500+ Quantitative Research Titles and Topics

500+ Quantitative Research Titles and Topics

Table of Contents

Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology , economics , and other fields where researchers aim to understand human behavior and phenomena through statistical analysis. If you are looking for a quantitative research topic, there are numerous areas to explore, from analyzing data on a specific population to studying the effects of a particular intervention or treatment. In this post, we will provide some ideas for quantitative research topics that may inspire you and help you narrow down your interests.

Quantitative Research Titles

Quantitative Research Titles are as follows:

Business and Economics

“Statistical Analysis of Supply Chain Disruptions on Retail Sales”
“Quantitative Examination of Consumer Loyalty Programs in the Fast Food Industry”
“Predicting Stock Market Trends Using Machine Learning Algorithms”
“Influence of Workplace Environment on Employee Productivity: A Quantitative Study”
“Impact of Economic Policies on Small Businesses: A Regression Analysis”
“Customer Satisfaction and Profit Margins: A Quantitative Correlation Study”
“Analyzing the Role of Marketing in Brand Recognition: A Statistical Overview”
“Quantitative Effects of Corporate Social Responsibility on Consumer Trust”
“Price Elasticity of Demand for Luxury Goods: A Case Study”
“The Relationship Between Fiscal Policy and Inflation Rates: A Time-Series Analysis”
“Factors Influencing E-commerce Conversion Rates: A Quantitative Exploration”
“Examining the Correlation Between Interest Rates and Consumer Spending”
“Standardized Testing and Academic Performance: A Quantitative Evaluation”
“Teaching Strategies and Student Learning Outcomes in Secondary Schools: A Quantitative Study”
“The Relationship Between Extracurricular Activities and Academic Success”
“Influence of Parental Involvement on Children’s Educational Achievements”
“Digital Literacy in Primary Schools: A Quantitative Assessment”
“Learning Outcomes in Blended vs. Traditional Classrooms: A Comparative Analysis”
“Correlation Between Teacher Experience and Student Success Rates”
“Analyzing the Impact of Classroom Technology on Reading Comprehension”
“Gender Differences in STEM Fields: A Quantitative Analysis of Enrollment Data”
“The Relationship Between Homework Load and Academic Burnout”
“Assessment of Special Education Programs in Public Schools”
“Role of Peer Tutoring in Improving Academic Performance: A Quantitative Study”

Medicine and Health Sciences

“The Impact of Sleep Duration on Cardiovascular Health: A Cross-sectional Study”
“Analyzing the Efficacy of Various Antidepressants: A Meta-Analysis”
“Patient Satisfaction in Telehealth Services: A Quantitative Assessment”
“Dietary Habits and Incidence of Heart Disease: A Quantitative Review”
“Correlations Between Stress Levels and Immune System Functioning”
“Smoking and Lung Function: A Quantitative Analysis”
“Influence of Physical Activity on Mental Health in Older Adults”
“Antibiotic Resistance Patterns in Community Hospitals: A Quantitative Study”
“The Efficacy of Vaccination Programs in Controlling Disease Spread: A Time-Series Analysis”
“Role of Social Determinants in Health Outcomes: A Quantitative Exploration”
“Impact of Hospital Design on Patient Recovery Rates”
“Quantitative Analysis of Dietary Choices and Obesity Rates in Children”

Social Sciences

“Examining Social Inequality through Wage Distribution: A Quantitative Study”
“Impact of Parental Divorce on Child Development: A Longitudinal Study”
“Social Media and its Effect on Political Polarization: A Quantitative Analysis”
“The Relationship Between Religion and Social Attitudes: A Statistical Overview”
“Influence of Socioeconomic Status on Educational Achievement”
“Quantifying the Effects of Community Programs on Crime Reduction”
“Public Opinion and Immigration Policies: A Quantitative Exploration”
“Analyzing the Gender Representation in Political Offices: A Quantitative Study”
“Impact of Mass Media on Public Opinion: A Regression Analysis”
“Influence of Urban Design on Social Interactions in Communities”
“The Role of Social Support in Mental Health Outcomes: A Quantitative Analysis”
“Examining the Relationship Between Substance Abuse and Employment Status”

Engineering and Technology

“Performance Evaluation of Different Machine Learning Algorithms in Autonomous Vehicles”
“Material Science: A Quantitative Analysis of Stress-Strain Properties in Various Alloys”
“Impacts of Data Center Cooling Solutions on Energy Consumption”
“Analyzing the Reliability of Renewable Energy Sources in Grid Management”
“Optimization of 5G Network Performance: A Quantitative Assessment”
“Quantifying the Effects of Aerodynamics on Fuel Efficiency in Commercial Airplanes”
“The Relationship Between Software Complexity and Bug Frequency”
“Machine Learning in Predictive Maintenance: A Quantitative Analysis”
“Wearable Technologies and their Impact on Healthcare Monitoring”
“Quantitative Assessment of Cybersecurity Measures in Financial Institutions”
“Analysis of Noise Pollution from Urban Transportation Systems”
“The Influence of Architectural Design on Energy Efficiency in Buildings”

Quantitative Research Topics

Quantitative Research Topics are as follows:

The effects of social media on self-esteem among teenagers.
A comparative study of academic achievement among students of single-sex and co-educational schools.
The impact of gender on leadership styles in the workplace.
The correlation between parental involvement and academic performance of students.
The effect of mindfulness meditation on stress levels in college students.
The relationship between employee motivation and job satisfaction.
The effectiveness of online learning compared to traditional classroom learning.
The correlation between sleep duration and academic performance among college students.
The impact of exercise on mental health among adults.
The relationship between social support and psychological well-being among cancer patients.
The effect of caffeine consumption on sleep quality.
A comparative study of the effectiveness of cognitive-behavioral therapy and pharmacotherapy in treating depression.
The relationship between physical attractiveness and job opportunities.
The correlation between smartphone addiction and academic performance among high school students.
The impact of music on memory recall among adults.
The effectiveness of parental control software in limiting children’s online activity.
The relationship between social media use and body image dissatisfaction among young adults.
The correlation between academic achievement and parental involvement among minority students.
The impact of early childhood education on academic performance in later years.
The effectiveness of employee training and development programs in improving organizational performance.
The relationship between socioeconomic status and access to healthcare services.
The correlation between social support and academic achievement among college students.
The impact of technology on communication skills among children.
The effectiveness of mindfulness-based stress reduction programs in reducing symptoms of anxiety and depression.
The relationship between employee turnover and organizational culture.
The correlation between job satisfaction and employee engagement.
The impact of video game violence on aggressive behavior among children.
The effectiveness of nutritional education in promoting healthy eating habits among adolescents.
The relationship between bullying and academic performance among middle school students.
The correlation between teacher expectations and student achievement.
The impact of gender stereotypes on career choices among high school students.
The effectiveness of anger management programs in reducing violent behavior.
The relationship between social support and recovery from substance abuse.
The correlation between parent-child communication and adolescent drug use.
The impact of technology on family relationships.
The effectiveness of smoking cessation programs in promoting long-term abstinence.
The relationship between personality traits and academic achievement.
The correlation between stress and job performance among healthcare professionals.
The impact of online privacy concerns on social media use.
The effectiveness of cognitive-behavioral therapy in treating anxiety disorders.
The relationship between teacher feedback and student motivation.
The correlation between physical activity and academic performance among elementary school students.
The impact of parental divorce on academic achievement among children.
The effectiveness of diversity training in improving workplace relationships.
The relationship between childhood trauma and adult mental health.
The correlation between parental involvement and substance abuse among adolescents.
The impact of social media use on romantic relationships among young adults.
The effectiveness of assertiveness training in improving communication skills.
The relationship between parental expectations and academic achievement among high school students.
The correlation between sleep quality and mood among adults.
The impact of video game addiction on academic performance among college students.
The effectiveness of group therapy in treating eating disorders.
The relationship between job stress and job performance among teachers.
The correlation between mindfulness and emotional regulation.
The impact of social media use on self-esteem among college students.
The effectiveness of parent-teacher communication in promoting academic achievement among elementary school students.
The impact of renewable energy policies on carbon emissions
The relationship between employee motivation and job performance
The effectiveness of psychotherapy in treating eating disorders
The correlation between physical activity and cognitive function in older adults
The effect of childhood poverty on adult health outcomes
The impact of urbanization on biodiversity conservation
The relationship between work-life balance and employee job satisfaction
The effectiveness of eye movement desensitization and reprocessing (EMDR) in treating trauma
The correlation between parenting styles and child behavior
The effect of social media on political polarization
The impact of foreign aid on economic development
The relationship between workplace diversity and organizational performance
The effectiveness of dialectical behavior therapy in treating borderline personality disorder
The correlation between childhood abuse and adult mental health outcomes
The effect of sleep deprivation on cognitive function
The impact of trade policies on international trade and economic growth
The relationship between employee engagement and organizational commitment
The effectiveness of cognitive therapy in treating postpartum depression
The correlation between family meals and child obesity rates
The effect of parental involvement in sports on child athletic performance
The impact of social entrepreneurship on sustainable development
The relationship between emotional labor and job burnout
The effectiveness of art therapy in treating dementia
The correlation between social media use and academic procrastination
The effect of poverty on childhood educational attainment
The impact of urban green spaces on mental health
The relationship between job insecurity and employee well-being
The effectiveness of virtual reality exposure therapy in treating anxiety disorders
The correlation between childhood trauma and substance abuse
The effect of screen time on children’s social skills
The impact of trade unions on employee job satisfaction
The relationship between cultural intelligence and cross-cultural communication
The effectiveness of acceptance and commitment therapy in treating chronic pain
The correlation between childhood obesity and adult health outcomes
The effect of gender diversity on corporate performance
The impact of environmental regulations on industry competitiveness.
The impact of renewable energy policies on greenhouse gas emissions
The relationship between workplace diversity and team performance
The effectiveness of group therapy in treating substance abuse
The correlation between parental involvement and social skills in early childhood
The effect of technology use on sleep patterns
The impact of government regulations on small business growth
The relationship between job satisfaction and employee turnover
The effectiveness of virtual reality therapy in treating anxiety disorders
The correlation between parental involvement and academic motivation in adolescents
The effect of social media on political engagement
The impact of urbanization on mental health
The relationship between corporate social responsibility and consumer trust
The correlation between early childhood education and social-emotional development
The effect of screen time on cognitive development in young children
The impact of trade policies on global economic growth
The relationship between workplace diversity and innovation
The effectiveness of family therapy in treating eating disorders
The correlation between parental involvement and college persistence
The effect of social media on body image and self-esteem
The impact of environmental regulations on business competitiveness
The relationship between job autonomy and job satisfaction
The effectiveness of virtual reality therapy in treating phobias
The correlation between parental involvement and academic achievement in college
The effect of social media on sleep quality
The impact of immigration policies on social integration
The relationship between workplace diversity and employee well-being
The effectiveness of psychodynamic therapy in treating personality disorders
The correlation between early childhood education and executive function skills
The effect of parental involvement on STEM education outcomes
The impact of trade policies on domestic employment rates
The relationship between job insecurity and mental health
The effectiveness of exposure therapy in treating PTSD
The correlation between parental involvement and social mobility
The effect of social media on intergroup relations
The impact of urbanization on air pollution and respiratory health.
The relationship between emotional intelligence and leadership effectiveness
The effectiveness of cognitive-behavioral therapy in treating depression
The correlation between early childhood education and language development
The effect of parental involvement on academic achievement in STEM fields
The impact of trade policies on income inequality
The relationship between workplace diversity and customer satisfaction
The effectiveness of mindfulness-based therapy in treating anxiety disorders
The correlation between parental involvement and civic engagement in adolescents
The effect of social media on mental health among teenagers
The impact of public transportation policies on traffic congestion
The relationship between job stress and job performance
The effectiveness of group therapy in treating depression
The correlation between early childhood education and cognitive development
The effect of parental involvement on academic motivation in college
The impact of environmental regulations on energy consumption
The relationship between workplace diversity and employee engagement
The effectiveness of art therapy in treating PTSD
The correlation between parental involvement and academic success in vocational education
The effect of social media on academic achievement in college
The impact of tax policies on economic growth
The relationship between job flexibility and work-life balance
The effectiveness of acceptance and commitment therapy in treating anxiety disorders
The correlation between early childhood education and social competence
The effect of parental involvement on career readiness in high school
The impact of immigration policies on crime rates
The relationship between workplace diversity and employee retention
The effectiveness of play therapy in treating trauma
The correlation between parental involvement and academic success in online learning
The effect of social media on body dissatisfaction among women
The impact of urbanization on public health infrastructure
The relationship between job satisfaction and job performance
The effectiveness of eye movement desensitization and reprocessing therapy in treating PTSD
The correlation between early childhood education and social skills in adolescence
The effect of parental involvement on academic achievement in the arts
The impact of trade policies on foreign investment
The relationship between workplace diversity and decision-making
The effectiveness of exposure and response prevention therapy in treating OCD
The correlation between parental involvement and academic success in special education
The impact of zoning laws on affordable housing
The relationship between job design and employee motivation
The effectiveness of cognitive rehabilitation therapy in treating traumatic brain injury
The correlation between early childhood education and social-emotional learning
The effect of parental involvement on academic achievement in foreign language learning
The impact of trade policies on the environment
The relationship between workplace diversity and creativity
The effectiveness of emotion-focused therapy in treating relationship problems
The correlation between parental involvement and academic success in music education
The effect of social media on interpersonal communication skills
The impact of public health campaigns on health behaviors
The relationship between job resources and job stress
The effectiveness of equine therapy in treating substance abuse
The correlation between early childhood education and self-regulation
The effect of parental involvement on academic achievement in physical education
The impact of immigration policies on cultural assimilation
The relationship between workplace diversity and conflict resolution
The effectiveness of schema therapy in treating personality disorders
The correlation between parental involvement and academic success in career and technical education
The effect of social media on trust in government institutions
The impact of urbanization on public transportation systems
The relationship between job demands and job stress
The correlation between early childhood education and executive functioning
The effect of parental involvement on academic achievement in computer science
The effectiveness of cognitive processing therapy in treating PTSD
The correlation between parental involvement and academic success in homeschooling
The effect of social media on cyberbullying behavior
The impact of urbanization on air quality
The effectiveness of dance therapy in treating anxiety disorders
The correlation between early childhood education and math achievement
The effect of parental involvement on academic achievement in health education
The impact of global warming on agriculture
The effectiveness of narrative therapy in treating depression
The correlation between parental involvement and academic success in character education
The effect of social media on political participation
The impact of technology on job displacement
The relationship between job resources and job satisfaction
The effectiveness of art therapy in treating addiction
The correlation between early childhood education and reading comprehension
The effect of parental involvement on academic achievement in environmental education
The impact of income inequality on social mobility
The relationship between workplace diversity and organizational culture
The effectiveness of solution-focused brief therapy in treating anxiety disorders
The correlation between parental involvement and academic success in physical therapy education
The effect of social media on misinformation
The impact of green energy policies on economic growth
The relationship between job demands and employee well-being
The correlation between early childhood education and science achievement
The effect of parental involvement on academic achievement in religious education
The impact of gender diversity on corporate governance
The relationship between workplace diversity and ethical decision-making
The correlation between parental involvement and academic success in dental hygiene education
The effect of social media on self-esteem among adolescents
The impact of renewable energy policies on energy security
The effect of parental involvement on academic achievement in social studies
The impact of trade policies on job growth
The relationship between workplace diversity and leadership styles
The correlation between parental involvement and academic success in online vocational training
The effect of social media on self-esteem among men
The impact of urbanization on air pollution levels
The effectiveness of music therapy in treating depression
The correlation between early childhood education and math skills
The effect of parental involvement on academic achievement in language arts
The impact of immigration policies on labor market outcomes
The effectiveness of hypnotherapy in treating phobias
The effect of social media on political engagement among young adults
The impact of urbanization on access to green spaces
The relationship between job crafting and job satisfaction
The effectiveness of exposure therapy in treating specific phobias
The correlation between early childhood education and spatial reasoning
The effect of parental involvement on academic achievement in business education
The impact of trade policies on economic inequality
The effectiveness of narrative therapy in treating PTSD
The correlation between parental involvement and academic success in nursing education
The effect of social media on sleep quality among adolescents
The impact of urbanization on crime rates
The relationship between job insecurity and turnover intentions
The effectiveness of pet therapy in treating anxiety disorders
The correlation between early childhood education and STEM skills
The effect of parental involvement on academic achievement in culinary education
The impact of immigration policies on housing affordability
The relationship between workplace diversity and employee satisfaction
The effectiveness of mindfulness-based stress reduction in treating chronic pain
The correlation between parental involvement and academic success in art education
The effect of social media on academic procrastination among college students
The impact of urbanization on public safety services.

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STEM

Science, Technology Engineering, and Mathematics (STEM) is one of the most talked about topics in education, emphasizing research, problem solving, critical thinking, and creativity.

The following compendium of open-access articles are inclusive of all substantive AERA journal content regarding STEM published since 1969. This page will be updated as new articles are published.

Jason Jabbari, Yung Chun, Wenrui Huang, Stephen Roll
October 2023
Researchers found that program acceptance was significantly associated with increased earnings and probabilities of working in a science, technology, engineering, and math (STEM) profession.

Robert R. Martinez, Jr., James M. Ellis
September 2023
Researchers found that STEM-CR involves four related yet distinct dimensions of Think, Know, Act, and Go. Results also demonstrated soundness of these STEM-CR dimensions by race and gender (key learning skills and techniques/Act).

Rosemary J. Perez, Rudisang Motshubi, Sarah L. Rodriguez
April 2023
Researchers found that because participants did not attend to how racism and White supremacy fostered negative climate, their strategies (e.g., increased recruitment, committees, workshops) left systemic racism intact and (un)intentionally amplified labor for racially minoritized graduate students and faculty champions who often led change efforts with little support.

Kathleen Lynch, Lily An, Zid Mancenido
, July 2022
Researchers found an average weighted impact estimate of +0.10 standard deviations on mathematics achievement outcomes.

Luis A. Leyva, R. Taylor McNeill, B R. Balmer, Brittany L. Marshall, V. Elizabeth King, Zander D. Alley
, May 2022
Researchers address this research gap by exploring four Black queer students’ experiences of oppression and agency in navigating invisibility as STEM majors.

Angela Starrett, Matthew J. Irvin, Christine Lotter, Jan A. Yow
, May 2022
Researchers found that the more place-based workforce development adolescents reported, the higher their expectancy beliefs, STEM career interest, and rural community aspirations.

Matthew H. Rafalow, Cassidy Puckett
May 2022
Researchers found that educational resources, like digital technologies, are also sorted by schools.

Pamela Burnard, Laura Colucci-Gray, Carolyn Cooke
April 2022
This article makes a case for repositioning STEAM education as democratized enactments of transdisciplinary education, where arts and sciences are not separate or even separable endeavors.

Salome Wörner, Jochen Kuhn, Katharina Scheiter
, April 2022
Researchers conclude that for combining real and virtual experiments, apart from the individual affordances and the learning objectives of the different experiment types, especially their specific function for the learning task must be considered.

Seung-hyun Han, Eunjung Grace Oh, Sun “Pil” Kang
April 2022
Researchers found that the knowledge sharing mechanism and student learning outcomes can be explained in terms of their social capital within social networks.

Barbara Schneider, Joseph Krajcik, Jari Lavonen, Katariina Salmela-Aro, Christopher Klager, Lydia Bradford, I-Chien Chen, Quinton Baker, Israel Touitou, Deborah Peek-Brown, Rachel Marias Dezendorf, Sarah Maestrales, Kayla Bartz
March 2022
Researchers found that improving secondary school science learning is achievable with a coherent system comprising teacher and student learning experiences, professional learning, and formative unit assessments that support students in “doing” science.

Paulo Tan, Alexis Padilla, Rachel Lambert
, March 2022
Researchers found that studies continue to avoid meaningful intersectional considerations of race and disability.

Ta-yang Hsieh, Sandra D. Simpkins
March 2022
Researchers found patterns with overall high/low beliefs, patterns with varying levels of motivational beliefs, and patterns characterized by domain differentiation.

Jonté A. Myers, Bradley S. Witzel, Sarah R. Powell, Hongli Li, Terri D. Pigott, Yan Ping Xin, Elizabeth M. Hughes
, February 2022
Findings of meta-regression analyses showed several moderators, such as sample composition, group size, intervention dosage, group assignment approach, interventionist, year of publication, and dependent measure type, significantly explained heterogeneity in effects across studies.

Grace A. Chen, Ilana S. Horn
, January 2022
The findings from this review highlight the interconnectedness of structures and individual lives, of the material and ideological elements of marginalization, of intersectionality and within-group heterogeneity, and of histories and institutions.

Victor R. Lee, Michelle Hoda Wilkerson, Kathryn Lanouette
December 2021
Researchers offer an interdisciplinary framework based on literature from multiple bodies of educational research to inform design, teaching and research for more effective, responsible, and inclusive student learning experiences with and about data.

Ido Davidesco, Camillia Matuk, Dana Bevilacqua, David Poeppel, Suzanne Dikker
December 2021
This essay critically evaluates the value added by portable brain technologies in education research and outlines a proposed research agenda, centered around questions related to student engagement, cognitive load, and self-regulation.

Guan K. Saw, Charlotte A. Agger
December 2021
Researchers found that during high school rural and small-town students shifted away from STEM fields and that geographic disparities in postsecondary STEM participation were largely explained by students’ demographics and precollege STEM career aspirations and academic preparation.

Kyle M. Whitcomb, Sonja Cwik, Chandralekha Singh
November 2021
Researchers found that on average across all years of study, underrepresented minority (URM) students experience a larger penalty to their mean overall and STEM GPA than even the most disadvantaged non-URM students.

Lana M. Minshew, Amanda A. Olsen, Jacqueline E. McLaughlin
, October 2021
Researchers found that the CA framework is a useful and effective model for supporting faculty in cultivating rich learning opportunities for STEM graduate students.

Xin Lin, Sarah R. Powell
, October 2021
Findings suggested fluency in both mathematics and reading, as well as working memory, yielded greater impacts on subsequent mathematics performance.

Christine L. Bae, Daphne C. Mills, Fa Zhang, Martinique Sealy, Lauren Cabrera, Marquita Sea
, September 2021
This systematic literature review is guided by a complex systems framework to organize and synthesize empirical studies of science talk in urban classrooms across individual (student or teacher), collective (interpersonal), and contextual (sociocultural, historical) planes.

Toya Jones Frank, Marvin G. Powell, Jenice L. View, Christina Lee, Jay A. Bradley, Asia Williams
August/September 2021
Researchers found that teachers’ experiences of microaggressions accounted for most of the variance in our modeling of teachers’ thoughts of leaving the profession.

Ebony McGee, Yuan Fang, Yibin (Amanda) Ni, Thema Monroe-White
August 2021
Researchers found that 40.7% of the respondents reported that their career plans have been affected by Trump’s antiscience policies, 54.5% by the COVID-19 pandemic.

Martha Cecilia Bottia, Roslyn Arlin Mickelson, Cayce Jamil, Kyleigh Moniz, Leanne Barry
, May 2021
Consistent with cumulative disadvantage and critical race theories, findings reveal that the disproportionality of racially minoritized students in STEM is related to their inferior secondary school preparation; the presence of racialized lower quality educational contexts; reduced levels of psychosocial factors associated with STEM success; less exposure to inclusive and appealing curricula and instruction; lower levels of family social, cultural, and financial capital that foster academic outcomes; and fewer prospects for supplemental STEM learning opportunities. Policy implications of findings are discussed.

Iris Daruwala, Shani Bretas, Douglas D. Ready
April 2021
Researchers describe how teachers, school leaders, and program staff navigated institutional pressures to improve state grade-level standardized test scores while implementing tasks and technologies designed to personalize student learning.

Michael A. Gottfried, Jay Plasman, Jennifer A. Freeman, Shaun Dougherty
March 2021
Researchers found that students with learning disabilities were more likely to earn more units in CTE courses compared with students without disabilities.

Ebony Omotola McGee
December 2020
This manuscript also discusses how universities institutionalize diversity mentoring programs designed mostly to fix (read “assimilate”) underrepresented students of color while ignoring or minimizing the role of the STEM departments in creating racially hostile work and educational spaces.

Miray Tekkumru-Kisa, Mary Kay Stein, Walter Doyle
November 2020
The purpose of this article is to revisit theory and research on tasks, a construct introduced by Walter Doyle nearly 40 years ago.

Elizabeth S. Park, Federick Ngo
November 2020
Researchers found that lower math placement may have supported women, and to a lesser extent URM students, in completing transferable STEM credits.

Karisma Morton, Catherine Riegle-Crumb
August/September 2020
Results of regression analyses reveal that, net of school, teacher, and student characteristics, the time that teachers report spending on algebra and more advanced content in eighth grade algebra classes is significantly lower in schools that are predominantly Black compared to those that are not predominantly minority. Implications for future research are discussed.

Qi Zhang, Jessaca Spybrook, Fatih Unlu
, July 2020
Researchers consider strategies to maximize the efficiency of the study design when both student and teacher effects are of primary interest.

Jennifer Lin Russell, Richard Correnti, Mary Kay Stein, Ally Thomas, Victoria Bill, Laurie Speranzo
, July 20, 2020
Analysis of videotaped coaching conversations and teaching events suggests that model-trained coaches improved their capacity to use a high-leverage coaching practice—deep and specific prelesson planning conversations—and that growth in this practice predicted teaching improvement, specifically increased opportunities for students to engage in conceptual thinking.

Maithreyi Gopalan, Kelly Rosinger, Jee Bin Ahn
, April 21, 2020
The overarching purpose of this chapter is to explore and document the growth, applicability, promise, and limitations of quasi-experimental research designs in education research.

Thomas M. Philip, Ayush Gupta
, April 21, 2020
By bringing this collection of articles together, this chapter provides collective epistemic and empirical weight to claims of power and learning as co-constituted and co-constructed through interactional, microgenetic, and structural dynamics.

Steve Graham, Sharlene A. Kiuhara, Meade MacKay
, March 19, 2020
This meta-analysis examined if students writing about content material in science, social studies, and mathematics facilitated learning.

Janina Roloff, Uta Klusmann, Oliver Lüdtke, Ulrich Trautwein
, January 2020
Multilevel regression analyses revealed that agreeableness, high school GPA, and the second state examination grade predicted teachers’ instructional quality.

: Contemporary Views on STEM Subjects and Language With English Learners
Okhee Lee, Amy Stephens
, 2020
With the release of the consensus report , the authors highlight foundational constructs and perspectives associated with STEM subjects and language with English learners that frame the report.

Angela Calabrese Barton and Edna Tan
, 2020
This essay presents a rightful presence framework to guide the study of teaching and learning in justice-oriented ways.

Day Greenberg, Angela Calabrese Barton, Carmen Turner, Kelly Hardy, Akeya Roper, Candace Williams, Leslie Rupert Herrenkohl, Elizabeth A. Davis, Tammy Tasker
, 2020
Researchers report on how one community builds capacity for disrupting injustice and supporting each other during the COVID-19 crisis.

Tatiana Melguizo, Federick Ngo
, 2020
This study explores the extent to which “college-ready” students, by high school standards, are assigned to remedial courses in college.

Karisma Morton and Catherine Riegle-Crumb
, 2020
Results of regression analyses reveal that, net of school, teacher, and student characteristics, the time that teachers report spending on algebra and more advanced content in eighth grade algebra classes is significantly lower in schools that are predominantly Black compared to those that are not predominantly minority. Implications for future research are discussed.

Jonathan D. Schweig, Julia H. Kaufman, and V. Darleen Opfer
, 2020
Researchers found that there are both substantial fluctuations in students’ engagement in these practices and reported cognitive demand from day to day, as well as large differences across teachers.

David Blazar and Casey Archer
, 2020
Researchers found that exposure to “ambitious” mathematics practices is more strongly associated with test score gains of English language learners compared to those of their peers in general education classrooms.

Megan Hopkins, Hayley Weddle, Maxie Gluckman, Leslie Gautsch
, December 2019
Researchers show how both researchers and practitioners facilitated research use.

Adrianna Kezar, Samantha Bernstein-Sierra
, October 2019
Findings suggest that Association of American Universities’ influence was a powerful motivator for institutions to alter deeply ingrained perceptions and behaviors.

Denis Dumas, Daniel McNeish, Julie Sarama, Douglas Clements
, October 2019
While students who receive a short-term intervention in preschool may not differ from a control group in terms of their long-term mathematics outcomes at the end of elementary school, they do exhibit significantly steeper growth curves as they approach their eventual skill level.

Jessica Thompson, Jennifer Richards, Soo-Yean Shim, Karin Lohwasser, Kerry Soo Von Esch, Christine Chew, Bethany Sjoberg, Ann Morris
, September 2019
Researchers used data from professional learning communities to analyze pathways into improvement work and reflective data to understand practitioners’ perspectives.

Ross E. O’Hara, Betsy Sparrow
, September 2019
Results indicate that interventions that target psychosocial barriers experienced by community college STEM students can increase retention and should be considered alongside broader reforms.

Ran Liu, Andrea Alvarado-Urbina, Emily Hannum
, September 2019
Findings reveal disparate national patterns in gender gaps across the performance distribution.

Adam Kirk Edgerton
, September 2019
Through an analysis of 52 interviews with state, regional, and district officials in California, Texas, Ohio, Pennsylvania, and Massachusetts, the author investigates the decline in the popularity of K–12 standards-based reform.

Amy Noelle Parks
, September 2019
The study suggests that more research needs to represent mathematics lessons from the perspectives of children and youth, particularly those students who engage with teachers infrequently or in atypical ways.

Rajeev Darolia, Cory Koedel, Joyce B. Main, J. Felix Ndashimye, Junpeng Yan
, September 30, 2019
Researchers found that differential access to high school courses does not affect postsecondary STEM enrollment or degree attainment.

Laura A. Davis, Gregory C. Wolniak, Casey E. George, Glen R. Nelson
, August 2019
The findings point to variation in informational quality across dimensions ranging from clarity of language use and terminology, to consistency and coherence of visual displays, which accompany navigational challenges stemming from information fragmentation and discontinuity across pages.

Juan E. Saavedra, Emma Näslund-Hadley, Mariana Alfonso
, August 12, 2019
Researchers present results from the first randomized experiment of a remedial inquiry-based science education program for low-performing elementary students in a developing country.

F. Chris Curran, James Kitchin
, July 2019
Researchers found suggestive evidence in some models (student fixed effects and regression with observable controls) that time on science instruction is related to science achievement but little evidence that the number of science topics/skills covered are related to greater science achievement.

Kathleen Lynch, Heather C. Hill, Kathryn E. Gonzalez, Cynthia Pollard
, June 2019
Programs saw stronger outcomes when they helped teachers learn to use curriculum materials; focused on improving teachers’ content knowledge, pedagogical content knowledge, and/or understanding of how students learn; incorporated summer workshops; and included teacher meetings to troubleshoot and discuss classroom implementation. We discuss implications for policy and practice.

Elizabeth Stearns, Martha Cecilia Bottia, Jason Giersch, Roslyn Arlin Mickelson, Stephanie Moller, Nandan Jha, Melissa Dancy
, June 2019
Researchers found that relative advantages in college academic performance in STEM versus non-STEM subjects do not contribute to the gender gap in STEM major declaration.

Nicole Shechtman, Jeremy Roschelle, Mingyu Feng, Corinne Singleton
, May 2019
As educational leaders throughout the United States adopt digital mathematics curricula and adaptive, blended approaches, the findings provide a relevant caution.

Colleen M. Ganley, Robert C. Schoen, Mark LaVenia, Amanda M. Tazaz
, March 2019
Factor analyses support a distinction between components of general math anxiety and anxiety about teaching math.

Felicia Moore Mensah
, February 2019
The implications for practice in both teacher education and science education show that educational and emotional support for teachers of color throughout their educational and professional journey is imperative to increasing and sustaining Black teachers.

Herbert W. Marsh, Brooke Van Zanden, Philip D. Parker, Jiesi Guo, James Conigrave, Marjorie Seaton
, February 2019
Researchers evaluated STEM coursework selection by women and men in senior high school and university, controlling achievement and expectancy-value variables.

Yasemin Copur-Gencturk, Debra Plowman, Haiyan Bai
, January 2019
The results showed that a focus on curricular content knowledge and examining students’ work were significantly related to teachers’ learning.

Rebecca Colina Neri, Maritza Lozano, Louis M. Gomez
, 2019
Researchers found that teacher resistance to CRE as a multilevel learning problem stems from (a) limited understanding and belief in the efficacy of CRE and (b) a lack of know-how needed to execute it.

Russell T. Warne, Gerhard Sonnert, and Philip M. Sadler
, 2019
Researchers investigated the relationship between participation in AP mathematics courses (AP Calculus and AP Statistics) and student career interest in STEM.

Catherine Riegle-Crumb, Barbara King, and Yasmiyn Irizarry
, 2019
Results reveal evidence of persistent racial/ethnic inequality in STEM degree attainment not found in other fields.

Eben B. Witherspoon, Paulette Vincent-Ruz, and Christian D. Schunn
, 2019
Researchers found that high-performing women often graduate with lower paying, lower status degrees.

Bruce Fuller, Yoonjeon Kim, Claudia Galindo, Shruti Bathia, Margaret Bridges, Greg J. Duncan, and Isabel García Valdivia
, 2019
This article details the growing share of Latino children from low-income families populating schools, 1998 to 2010.

Rebekka Darner
, 2019
Drawing from motivated reasoning and self-determination theories, this essay builds a theoretical model of how negative emotions, thwarting of basic psychological needs, and the backfire effect interact to undermine critical evaluation of evidence, leading to science denial.

Okhee Lee
, 2019
As the fast-growing population of English learners (ELs) is expected to meet college- and career-ready content standards, the purpose of this article is to highlight key issues in aligning ELP standards with content standards.

Mark C. Long, Dylan Conger, and Raymond McGhee, Jr.
, 2019
The authors offer the first model of the components inherent in a well-implemented AP science course and the first evaluation of AP implementation with a focus on public schools newly offering the inquiry-based version of AP Biology and Chemistry courses.

Yasemin Copur-Gencturk, Joseph R. Cimpian, Sarah Theule Lubienski, and Ian Thacker
, 2019
Results indicate that teachers are not free of bias, and that teachers from marginalized groups may be susceptible to bias that favors stereotype-advantaged groups.

Geoffrey B. Saxe and Joshua Sussman
, 2019
Multilevel analysis of longitudinal data on a specialized integers and fractions assessment, as well as a California state mathematics assessment, revealed that the ELs in LMR classrooms showed greater gains than comparison ELs and gained at similar rates to their EP peers in LMR classrooms.

Jordan Rickles, Jessica B. Heppen, Elaine Allensworth, Nicholas Sorensen, and Kirk Walters
, 2019
The authors discuss whether it would have been appropriate to test for nominally equivalent outcomes, given that the study was initially conceived and designed to test for significant differences, and that the conclusion of no difference was not solely based on a null hypothesis test.

Soobin Kim, Gregory Wallsworth, Ran Xu, Barbara Schneider, Kenneth Frank, Brian Jacob, Susan Dynarski
, 2019
Using detailed Michigan high school transcript data, this article examines the effect of the MMC on various students’ course-taking and achievement outcomes.

Dario Sansone
, December 2018
Researchers found that students were less likely to believe that men were better than women in math or science when assigned to female teachers or to teachers who valued and listened to ideas from their students.

Ebony McGee
, December 2018
The authors argues that both racial groups endure emotional distress because each group responds to its marginalization with an unrelenting motivation to succeed that imposes significant costs.

Barbara Means, Haiwen Wang, Xin Wei, Emi Iwatani, Vanessa Peters
, November 2018
Students overall and from under-represented groups who had attended inclusive STEM high schools were significantly more likely to be in a STEM bachelor’s degree program two years after high school graduation.

Paulo Tan, Kathleen King Thorius
, November 2018
Results indicate identity and power tensions that worked against equitable practices.

Caesar R. Jackson
, November 2018
This study investigated the validity and reliability of the Motivated Strategies for Learning Questionnaire (MSLQ) for minority students enrolled in STEM courses at a historically black college/university (HBCU).

Tuan D. Nguyen, Christopher Redding
, September 2018
The results highlight the importance of recruiting qualified STEM teachers to work in high-poverty schools and providing supports to help them thrive and remain in the classroom.

Joseph A. Taylor, Susan M. Kowalski, Joshua R. Polanin, Karen Askinas, Molly A. M. Stuhlsatz, Christopher D. Wilson, Elizabeth Tipton, Sandra Jo Wilson
, August 2018
The meta-analysis examines the relationship between science education intervention effect sizes and a host of study characteristics, allowing primary researchers to access better estimates of effect sizes for a priori power analyses. The results of this meta-analysis also support programmatic decisions by setting realistic expectations about the typical magnitude of impacts for science education interventions.

Brian A. Burt, Krystal L. Williams, Gordon J. M. Palmer
, August 2018
Three factors are identified as helping them persist from year to year, and in many cases through completion of the doctorate: the role of family, spirituality and faith-based community, and undergraduate mentors.

Anna-Lena Rottweiler, Jamie L. Taxer, Ulrike E. Nett
, June 2018
Suppression improved mood in exam-related anxiety, while distraction improved mood only in non-exam-related anxiety.

Gabriel Estrella, Jacky Au, Susanne M. Jaeggi, Penelope Collins
, April 2018
Although an analysis of 26 articles confirmed that inquiry instruction produced significantly greater impacts on measures of science achievement for ELLs compared to direct instruction, there was still a differential learning effect suggesting greater efficacy for non-ELLs compared to ELLs.

Heather C. Hill, Mark Chin
, April 2018
In this article, evidence from 284 teachers suggests that accuracy can be adequately measured and relates to instruction and student outcomes.

Darrell M. Hull, Krystal M. Hinerman, Sarah L. Ferguson, Qi Chen, Emma I. Näslund-Hadley
, April 20, 2018
Both quantitative and qualitative evidence suggest students within this culture respond well to this relatively simple and inexpensive intervention that departs from traditional, expository math instruction in many developing countries.

Erika C. Bullock
, April 2018
The author reviews CME studies that employ intersectionality as a way of analyzing the complexities of oppression.

Angela Calabrese Barton, Edna Tan
, March 2018
Building a conceptual argument for an equity-oriented culture of making, the authors discuss the ways in which making with and in community opened opportunities for youth to project their communities’ rich culture knowledge and wisdom onto their making while also troubling and negotiating the historicized injustices they experience.

Sabrina M. Solanki, Di Xu
, March 2018
Researchers found that having a female instructor narrows the gender gap in terms of engagement and interest; further, both female and male students tend to respond to instructor gender.

Susanne M. Jaeggi, Priti Shah
, February 2018
These articles provide excellent examples for how neuroscientific approaches can complement behavioral work, and they demonstrate how understanding the neural level can help researchers develop richer models of learning and development.

Danyelle T. Ireland, Kimberley Edelin Freeman, Cynthia E. Winston-Proctor, Kendra D. DeLaine, Stacey McDonald Lowe, Kamilah M. Woodson
, 2018
Researchers found that (1) identity; (2) STEM interest, confidence, and persistence; (3) achievement, ability perceptions, and attributions; and (4) socializers and support systems are key themes within the experiences of Black women and girls in STEM education.

Ann Y. Kim, Gale M. Sinatra, Viviane Seyranian
, 2018
Findings indicate that young women experience challenges to their participation and inclusion when they are in STEM settings.

Guan Saw, Chi-Ning Chang, and Hsun-Yu Chan
, 2018
Results indicated that female, Black, Hispanic, and low SES students were less likely to show, maintain, and develop an interest in STEM careers during high school years.

Di Xu, Sabrina Solanki, Peter McPartlan, and Brian Sato
, 2018
This paper estimates the causal effects of a first-year STEM learning communities program on both cognitive and noncognitive outcomes at a large public 4-year institution.

Christina S. Chhin, Katherine A. Taylor, and Wendy S. Wei
, 2018
Data showed that IES has not funded any direct replications that duplicate all aspects of the original study, but almost half of the funded grant applications can be considered conceptual replications that vary one or more dimensions of a prior study.

Okhee Lee
, 2018
As federal legislation requires that English language proficiency (ELP) standards are aligned with content standards, this article addresses issues and concerns in aligning ELP standards with content standards in English language arts, mathematics, and science.

Jordan Rickles, Jessica B. Heppen, Elaine Allensworth, Nicholas Sorensen, and Kirk Walters
, 2018
Researchers found no statistically significant differences in longer term outcomes between students in the online and face-to-face courses. Implications of these null findings are discussed.

Colleen M. Ganley, Casey E. George, Joseph R. Cimpian, Martha B. Makowski
, December 2017
Researchers found that perceived gender bias against women emerges as the dominant predictor of the gender balance in college majors.

James P. Spillane, Megan Hopkins, Tracy M. Sweet
, December 2017
This article examines the relationship between teachers’ instructional ties and their beliefs about mathematics instruction in one school district working to transform its approach to elementary mathematics education.

Susan A. Yoon, Sao-Ee Goh, Miyoung Park
, December 6, 2017
Results revealed needs in five areas of research: a need to diversify the knowledge domains within which research is conducted, more research on learning about system states, agreement on the essential features of complex systems content, greater focus on contextual factors that support learning including teacher learning, and a need for more comparative research.

Candace Walkington, Virginia Clinton, Pooja Shivraj
, November 2017
Textual features that make problems more difficult to process appear to differentially negatively impact struggling students, while features that make language easier to process appear to differentially positively impact struggling students.

Rebecca L. Matz, Benjamin P. Koester, Stefano Fiorini, Galina Grom, Linda Shepard, Charles G. Stangor, Brad Weiner, Timothy A. McKay
, November 2017
Biology, chemistry, physics, accounting, and economics lecture courses regularly exhibit gendered performance differences that are statistically and materially significant, whereas lab courses in the same subjects do not.

Adam V. Maltese, Christina S. Cooper
, August 2017
The results reveal that although there is no singular pathway into STEM fields, self-driven interest is a large factor in persistence, especially for males, and females rely more heavily on support from others.

Brian R. Belland, Andrew E. Walker, Nam Ju Kim
, August 2017
Scaffolding has a consistently strong effect across student populations, STEM disciplines, and assessment levels, and a strong effect when used with most problem-centered instructional and educational levels.

Di Xu, Shanna Smith Jaggars
, July 2017
The findings indicate a robust negative impact of online course taking for both subjects.

Maisie L. Gholson, Charles E. Wilkes
, June 2017
This chapter reviews two strands of identity-based research in mathematics education related to Black children, exemplified by Martin (2000) and Nasir (2002).

Sarah Theule Lubienski, Emily K. Miller, and Evthokia Stephanie Saclarides
, November 2017
Using data from a survey of doctoral students at one large institution, this study finds that men submitted and published more scholarly works than women across many fields, with differences largest in natural/biological sciences and engineering.

David Blazar, Cynthia Pollard
, October 2017
Drawing on classroom observations and teacher surveys, researchers find that test preparation activities predict lower quality and less ambitious mathematics instruction in upper-elementary classrooms.

Nicole M. Joseph, Meseret Hailu, Denise Boston
, June 2017
This integrative review used critical race theory (CRT) and Black feminism as interpretive frames to explore factors that contribute to Black women’s and girls’ persistence in the mathematics pipeline and the role these factors play in shaping their academic outcomes.

Benjamin L. Wiggins, Sarah L. Eddy, Daniel Z. Grunspan, Alison J. Crowe
, May 2017
Researchers describe the results of a quasi-experimental study to test the apex of the ICAP framework (interactive, constructive, active, and passive) in this ecological classroom environment.

Sean Gehrke, Adrianna Kezar
, May 2017
This study examines how involvement in four cross-institutional STEM faculty communities of practice is associated with local departmental and institutional change for faculty members belonging to these communities.

Lawrence Ingvarson, Glenn Rowley
, May 2017
This study investigated the relationship between policies related to the recruitment, selection, preparation, and certification of new teachers and (a) the quality of future teachers as measured by their mathematics content and pedagogy content knowledge and (b) student achievement in mathematics at the national level.

Will Tyson, Josipa Roksa
, April 2017
This study examines how course grades and course rigor are associated with math attainment among students with similar eighth-grade standardized math test scores.

Anne K. Morris, James Hiebert
, March 2017
Researchers investigated whether the content pre-service teachers studied in elementary teacher preparation mathematics courses was related to their performance on a mathematics lesson planning task 2 and 3 years after graduation.

Laura M. Desimone, Kirsten Lee Hill
, March 2017
Researchers use data from a randomized controlled trial of a middle school science intervention to explore the causal mechanisms by which the intervention produced previously documented gains in student achievement.

Okhee Lee
, March 2017
This article focuses on how the Common Core State Standards (CCSS) and the Next Generation Science Standards (NGSS) treat “argument,” especially in Grades K–5, and the extent to which each set of standards is grounded in research literature, as claimed.

Cory Koedel, Diyi Li, Morgan S. Polikoff, Tenice Hardaway, Stephani L. Wrabel
, February 2017
Researchers estimate relative achievement effects of the four most commonly adopted elementary mathematics textbooks in the fall of 2008 and fall of 2009 in California.

Mary Kay Stein, Richard Correnti, Debra Moore, Jennifer Lin Russell, Katelynn Kelly
, January 2017
Researchers argue that large-scale, standards-based improvements in the teaching and learning of mathematics necessitate advances in theories regarding how teaching affects student learning and progress in how to measure instruction.

Alan H. Schoenfeld
, December 2016
The author begins by tracing the growth and change in research in mathematics education and its interdependence with research in education in general over much of the 20th century, with an emphasis on changes in research perspectives and methods and the philosophical/empirical/disciplinary approaches that underpin them.

Marcia C. Linn, Libby Gerard, Camillia Matuk, Kevin W. McElhaney
, December 2016
This chapter focuses on how investigators from varied fields of inquiry who initially worked separately began to interact, eventually formed partnerships, and recently integrated their perspectives to strengthen science education.

: Are Teachers’ Implicit Cognitions Another Piece of the Puzzle?
Almut E. Thomas
, December 2016
Drawing on expectancy-value theory, this study investigated whether teachers’ implicit science-is-male stereotypes predict between-teacher variation in males’ and females’ motivational beliefs regarding physical science.

: A By-Product of STEM College Culture?
Ebony O. McGee
, December 2016
The researcher found that the 38 high-achieving Black and Latino/a STEM study participants, who attended institutions with racially hostile academic spaces, deployed an arsenal of strategies (e.g., stereotype management) to deflect stereotyping and other racial assaults (e.g., racial microaggressions), which are particularly prevalent in STEM fields.

James Cowan, Dan Goldhaber, Kyle Hayes, Roddy Theobald
, November 2016
Researchers discuss public policies that contribute to teacher shortages in specific subjects (e.g., STEM and special education) and specific types of schools (e.g., disadvantaged) as well as potential solutions.

: A Sociological Analysis of Multimethod Data From Young Women Aged 10–16 to Explore Gendered Patterns of Post-16 Participation
Louise Archer, Julie Moote, Becky Francis, Jennifer DeWitt, Lucy Yeomans
, November 2016
Researchers draw on survey data from more than 13,000 year 11 (age 15/16) students and interviews with 70 students (who had been tracked from age 10 to 16), focusing in particular on seven girls who aspired to continue with physics post-16, discussing how the cultural arbitrary of physics requires these girls to be highly “exceptional,” undertaking considerable identity work and deployment of capital in order to “possibilize” a physics identity—an endeavor in which some girls are better positioned to be successful than others.

Jeremy Roschelle, Mingyu Feng, Robert F. Murphy, Craig A. Mason
, October 2016
In a randomized field trial with 2,850 seventh-grade mathematics students, researchers evaluated whether an educational technology intervention increased mathematics learning.

: Making Research Participation Instructionally Effective
Sherry A. Southerland, Ellen M. Granger, Roxanne Hughes, Patrick Enderle, Fengfeng Ke, Katrina Roseler, Yavuz Saka, Miray Tekkumru-Kisa
, October 2016
As current reform efforts in science place a premium on student sense making and participation in the practices of science, researchers use a close examination of 106 science teachers participating in Research Experiences for Teachers (RET) to identify, through structural equation modeling, the essential features in supporting teacher learning from these experiences.

Brian R. Belland, Andrew E. Walker, Nam Ju Kim, Mason Lefler
, October 2016
This review addresses the need for a comprehensive meta-analysis of research on scaffolding in STEM education by synthesizing the results of 144 experimental studies (333 outcomes) on the effects of computer-based scaffolding designed to assist the full range of STEM learners (primary through adult education) as they navigated ill-structured, problem-centered curricula.

Vaughan Prain, Brian Hand
, October 2016
Researchers claim that there are strong evidence-based reasons for viewing writing as a central but not sole resource for learning, drawing on both past and current research on writing as an epistemological tool and on their professional background in science education research, acknowledging its distinctive take on the use of writing for learning.

June Ahn, Austin Beck, John Rice, Michelle Foster
, September 2016
Researchers present analyses from a researcher-practitioner partnership in the District of Columbia Public Schools, where the researchers are exploring the impact of educational software on students’ academic achievement.

Barbara King
, September 2016
This study uses nationally representative data from a recent cohort of college students to investigate thoroughly gender differences in STEM persistence.

Ryan C. Svoboda, Christopher S. Rozek, Janet S. Hyde, Judith M. Harackiewicz, Mesmin Destin
, August 2016
This longitudinal study draws on identity-based and expectancy-value theories of motivation to explain the socioeconomic status (SES) and mathematics and science course-taking relationship.

Mathematics Course Placements in California Middle Schools, 2003–2013
Thurston Domina, Paul Hanselman, NaYoung Hwang, Andrew McEachin
, July 2016
Researchers consider the organizational processes that accompanied the curricular intensification of the proportion of California eighth graders enrolled in algebra or a more advanced course nearly doubling to 65% between 2003 and 2013.

Lina Shanley
, July 2016
Using a nationally representative longitudinal data set, this study compared various models of mathematics achievement growth on the basis of both practical utility and optimal statistical fit and explored relationships within and between early and later mathematics growth parameters.

Mimi Engel, Amy Claessens, Tyler Watts, George Farkas
, June 2016
Analyzing data from two nationally representative kindergarten cohorts, researchers examine the mathematics content teachers cover in kindergarten.

F. Chris Curran, Ann T. Kellogg
, June 2016
Researchers present findings from the recently released Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 that demonstrate significant gaps in science achievement in kindergarten and first grade by race/ethnicity.

Rachel Garrett, Guanglei Hong
, June 2016
Analyzing the Early Childhood Longitudinal Study–Kindergarten cohort data, researchers find that heterogeneous grouping or a combination of heterogeneous and homogeneous grouping under relatively adequate time allocation is optimal for enhancing teacher ratings of language minority kindergartners’ math performance, while using homogeneous grouping only is detrimental.

Jennifer Gnagey, Stéphane Lavertu
, May 2016
This study is one of the first to estimate the impact of “inclusive” science, technology, engineering, and mathematics (STEM) high schools using student-level data.

Hanna Gaspard, Anna-Lena Dicke, Barbara Flunger, Isabelle Häfner, Brigitte M. Brisson, Ulrich Trautwein, Benjamin Nagengast
, May 2016
Through data from a cluster-randomized study in which a value intervention was successfully implemented in 82 ninth-grade math classrooms, researchers address how interventions on students’ STEM motivation in school affect motivation in subjects not targeted by the intervention.

Rebecca M. Callahan, Melissa H. Humphries
, April 2016
Researchers employ multivariate methods to investigate immigrant college going by linguistic status using the Educational Longitudinal Study of 2002.

Federick Ngo, Tatiana Melguizo
, March 2016
Researchers take advantage of heterogeneous placement policy in a large urban community college district in California to compare the effects of math remediation under different policy contexts.

: An Analysis of German Fourth- and Sixth-Grade Classrooms
Steffen Tröbst, Thilo Kleickmann, Kim Lange-Schubert, Anne Rothkopf, Kornelia Möller
, February 2016
Researchers examined if changes in instructional practices accounted for differences in situational interest in science instruction and enduring individual interest in science between elementary and secondary school classrooms.

: A Mixed-Methods Study
David F. Feldon, Michelle A. Maher, Josipa Roksa, James Peugh
, February 2016
Researchers offer evidence of a similar phenomenon to cumulative advantage, accounting for differential patterns of research skill development in graduate students over an academic year and explore differences in socialization that accompany diverging developmental trajectories.

: The Influence of Time, Peers, and Place
Luke Dauter, Bruce Fuller
, February 2016
Researchers hypothesize that pupil mobility stems from the (a) student’s time in school and grade; (b) student’s race, class, and achievement relative to peers; (c) quality of schooling relative to nearby alternatives; and (4) proximity, abundance, and diversity of local school options.

: How Workload and Curricular Affordances Shape STEM Faculty Decisions About Teaching and Learning
Matthew T. Hora
, January 2016
In this study the idea of the “problem space” from cognitive science is used to examine how faculty construct mental representations for the task of planning undergraduate courses.

Jessaca Spybrook, Carl D. Westine, Joseph A. Taylor
, January 2016
This article provides empirical estimates of design parameters necessary for planning adequately powered cluster randomized trials (CRTs) focused on science achievement.

Paul L. Morgan, George Farkas, Marianne M. Hillemeier, Steve Maczuga
, January 2016
Researchers examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools.

: Opportunity Structures and Outcomes in Inclusive STEM-Focused High Schools
Lois Weis, Margaret Eisenhart, Kristin Cipollone, Amy E. Stich, Andrea B. Nikischer, Jarrod Hanson, Sarah Ohle Leibrandt, Carrie D. Allen, Rachel Dominguez
, December 2015
Researchers present findings from a three-year comparative longitudinal and ethnographic study of how schools in two cities, Buffalo and Denver, have taken up STEM education reform, including the idea of “inclusive STEM-focused schools,” to address weaknesses in urban high schools with majority low-income and minority students.

: How Do They Interact in Promoting Science Understanding?
Jasmin Decristan, Eckhard Klieme, Mareike Kunter, Jan Hochweber, Gerhard Büttner, Benjamin Fauth, A. Lena Hondrich, Svenja Rieser, Silke Hertel, Ilonca Hardy
, December 2015
Researchers examine the interplay between curriculum-embedded formative assessment—a well-known teaching practice—and general features of classroom process quality (i.e., cognitive activation, supportive climate, classroom management) and their combined effect on elementary school students’ understanding of the scientific concepts of floating and sinking.

: An International Perspective
William H. Schmidt, Nathan A. Burroughs, Pablo Zoido, Richard T. Houang
, October 2015
In this paper, student-level indicators of opportunity to learn (OTL) included in the 2012 Programme for International Student Assessment are used to explore the joint relationship of OTL and socioeconomic status (SES) to student mathematics literacy.

Xueli Wang
, September 2015
This study examines the effect of beginning at a community college on baccalaureate success in science, technology, engineering, and mathematics (STEM) fields.

: Trends and Predictors
David M. Quinn, North Cooc
, August 2015
With research on science achievement disparities by gender and race/ethnicity often neglecting the beginning of the pipeline in the early grades, researchers address this limitation using nationally representative data following students from Grades 3 to 8.

Shaun M. Dougherty, Joshua S. Goodman, Darryl V. Hill, Erica G. Litke, Lindsay C. Page
, May 2015
Researchers highlight a collaboration to investigate one district’s effort to increase middle school algebra course-taking.

David F. Feldon, Michelle A. Maher, Melissa Hurst, Briana Timmerman
, April 2015
This mixed-method study investigates agreement between student mentees’ and their faculty mentors’ perceptions of the students’ developing research knowledge and skills in STEM.

: Reviving Science Education for Civic Ends
John L. Rudolph
, December 2014
This article revisits John Dewey’s now-well-known address “Science as Subject-Matter and as Method” and examines the development of science education in the United States in the years since that address.

Dermot F. Donnelly, Marcia C. Linn Sten Ludvigsen
, December 2014
The National Science Foundation–sponsored report Fostering Learning in the Networked World called for “a common, open platform to support communities of developers and learners in ways that enable both to take advantage of advances in the learning sciences”; we review research on science inquiry learning environments (ILEs) to characterize current platforms.

: A Longitudinal Case Study of America’s Chemistry Teachers
Gregory T. Rushton, Herman E. Ray, Brett A. Criswell, Samuel J. Polizzi, Clyde J. Bearss, Nicholas Levelsmier, Himanshu Chhita, Mary Kirchhoff
, November 2014
Researchers perform a longitudinal case study of U.S. public school chemistry teachers to illustrate a diffusion of responsibility within the STEM community regarding who is responsible for the teacher workforce.

: Relations Between Early Mathematics Knowledge and High School Achievement
Tyler W. Watts, Greg J. Duncan, Robert S. Siegler, Pamela E. Davis-Kean
, October 2014
Researchers find that preschool mathematics ability predicts mathematics achievement through age 15, even after accounting for early reading, cognitive skills, and family and child characteristics.

T. Jared Robinson, Lane Fischer, David Wiley, John Hilton, III
, October 2014
The purpose of this quantitative study is to analyze whether the adoption of open science textbooks significantly affects science learning outcomes for secondary students in earth systems, chemistry, and physics.

: 1968–2009
Robert N. Ronau, Christopher R. Rakes, Sarah B. Bush, Shannon O. Driskell, Margaret L. Niess, David K. Pugalee
, October 2014
We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality.

Andrew D. Plunk, William F. Tate, Laura J. Bierut, Richard A. Grucza
, June 2014
Using logistic regression with Census and American Community Survey (ACS) data ( = 2,892,444), researchers modeled mathematics and science course graduation requirement (CGR) exposure on (a) high school dropout, (b) beginning college, and (c) obtaining any college degree.

Corey Drake, Tonia J. Land, Andrew M. Tyminski
, April 2014
Building on the work of Ball and Cohen and that of Davis and Krajcik, as well as more recent research related to teacher learning from and about curriculum materials, researchers seek to answer the question, How can prospective teachers (PTs) learn to read and use educative curriculum materials in ways that support them in acquiring the knowledge needed for teaching?

Lorraine M. McDonnell, M. Stephen Weatherford
, December 2013
This article draws on theories of political and policy learning and interviews with major participants to examine the role that the Common Core State Standards (CCSS) supporters have played in developing and implementing the standards, supporters’ reasons for mobilizing, and the counterarguments and strategies of recently emerging opposition groups.

: Motivation, High School Learning, and Postsecondary Context of Support
Xueli Wang
, October 2013
This study draws upon social cognitive career theory and higher education literature to test a conceptual framework for understanding the entrance into science, technology, engineering, and mathematics (STEM) majors by recent high school graduates attending 4-year institutions.

Philip M. Sadler, Gerhard Sonnert, Harold P. Coyle, Nancy Cook-Smith, Jaimie L. Miller
, October 2013
This study examines the relationship between teacher knowledge and student learning for 9,556 students of 181 middle school physical science teachers.

: Teaching Critical Mathematics in a Remedial Secondary Classroom
Andrew Brantlinger
, October 2013
The researcher presents results from a practitioner research study of his own teaching of critical mathematics (CM) to low-income students of color in a U.S. context.

Jason G. Hill, Ben Dalton
, October 2013
This study investigates the distribution of math teachers with a major or certification in math using data from the National Center for Education Statistics’ High School Longitudinal Study of 2009 (HSLS:09).

Kristin F. Butcher, Mary G. Visher
, September 2013
This study uses random assignment to investigate the impact of a “light-touch” intervention, where an individual visited math classes a few times during the semester, for a few minutes each time, to inform students about available services.

Janet M. Dubinsky, Gillian Roehrig, Sashank Varma
, August 2013
Researchers argue that the neurobiology of learning, and in particular the core concept of , have the potential to directly transform teacher preparation and professional development, and ultimately to affect how students think about their own learning.

: The Impact of Undergraduate Research Programs
M. Kevin Eagan, Jr., Sylvia Hurtado, Mitchell J. Chang, Gina A. Garcia, Felisha A. Herrera, Juan C. Garibay
, August 2013
Researchers’ findings indicate that participation in an undergraduate research program significantly improved students’ probability of indicating plans to enroll in a STEM graduate program.

Okhee Lee, Helen Quinn, Guadalupe Valdés
, May 2013
This article addresses language demands and opportunities that are embedded in the science and engineering practices delineated in “A Framework for K–12 Science Education,” released by the National Research Council (2011).

Liliana M. Garces
, April 2013
This study examines the effects of affirmative action bans in four states (California, Florida, Texas, and Washington) on the enrollment of underrepresented students of color within six different graduate fields of study: the natural sciences, engineering, social sciences, business, education, and humanities.

: Learning Lessons From Research on Diversity in STEM Fields
Shirley M. Malcom, Lindsey E. Malcom-Piqueux
, April 2013
Researchers argue that social scientists ought to look to the vast STEM education research literature to begin the task of empirically investigating the questions raised in the case.

Roslyn Arlin Mickelson, Martha Cecilia Bottia, Richard Lambert
, March 2013
This metaregression analysis reviewed the social science literature published in the past 20 years on the relationship between mathematics outcomes and the racial composition of the K–12 schools students attend.

Jeffrey Grigg, Kimberle A. Kelly, Adam Gamoran, Geoffrey D. Borman
, March 2013
Researchers examine classroom observations from a 3-year large-scale randomized trial in the Los Angeles Unified School District (LAUSD) to investigate the extent to which a professional development initiative in inquiry science influenced teaching practices in in 4th and 5th grade classrooms in 73 schools.

:
Angela Calabrese Barton, Hosun Kang, Edna Tan, Tara B. O’Neill, Juanita Bautista-Guerra, Caitlin Brecklin
, February 2013
This longitudinal ethnographic study traces the identity work that girls from nondominant backgrounds do as they engage in science-related activities across school, club, and home during the middle school years.

: A Review of the State of the Field
Shuchi Grover, Roy Pea
, January 2013
This article frames the current state of discourse on computational thinking in K–12 education by examining mostly recently published academic literature that uses Jeannette Wing’s article as a springboard, identifies gaps in research, and articulates priorities for future inquiries.

Catherine Riegle-Crumb, Barbara King, Eric Grodsky, Chandra Muller
, December 2012
This article investigates the empirical basis for often-repeated arguments that gender differences in entrance into science, technology, engineering, and mathematics (STEM) majors are largely explained by disparities in prior achievement.

Richard M. Ingersoll, Henry May
, December 2012
This study examines the magnitude, destinations, and determinants of mathematics and science teacher turnover.

: How Families Shape Children’s Engagement and Identification With Science
Louise Archer, Jennifer DeWitt, Jonathan Osborne, Justin Dillon, Beatrice Willis, Billy Wong
, October 2012
Drawing on the conceptual framework of Bourdieu, this article explores how the interplay of family habitus and capital can make science aspirations more “thinkable” for some (notably middle-class) children than others.

Erin Marie Furtak, Tina Seidel, Heidi Iverson, Derek C. Briggs
, September 2012
This meta-analysis introduces a framework for inquiry-based teaching that distinguishes between cognitive features of the activity and degree of guidance given to students.

Jaekyung Lee, Todd Reeves
, June 2012
This study examines the impact of high-stakes school accountability, capacity, and resources under NCLB on reading and math achievement outcomes through comparative interrupted time-series analyses of 1990–2009 NAEP state assessment data.

: Toward a Theory of Teaching
Paola Sztajn, Jere Confrey, P. Holt Wilson, Cynthia Edgington
, June 2012
Researchers propose a theoretical connection between research on learning and research on teaching through recent research on students’ learning trajectories (LTs).

: The Perspectives of Exemplary African American Teachers
Jianzhong Xu, Linda T. Coats, Mary L. Davidson
, February 2012
Researchers argue both the urgency and the promise of establishing a constructive conversation among different bodies of research, including science interest, sociocultural studies in science education, and culturally relevant teaching.

Rebecca M. Schneider, Kellie Plasman
, December 2011
This review examines the research on science teachers’ pedagogical content knowledge (PCK) in order to refine ideas about science teacher learning progressions and how to support them.

Brian A. Nosek, Frederick L. Smyth
, October 2011
Researchers examined implicit math attitudes and stereotypes among a heterogeneous sample of 5,139 participants.

Libby F. Gerard, Keisha Varma, Stephanie B. Corliss, Marcia C. Linn
, September 2011
Researchers’ findings suggest that professional development programs that engaged teachers in a comprehensive, constructivist-oriented learning process and were sustained beyond 1 year significantly improved students’ inquiry learning experiences in K–12 science classrooms.

: Teaching and Learning Impacts of Reading Apprenticeship Professional Development
Cynthia L. Greenleaf, Cindy Litman, Thomas L. Hanson, Rachel Rosen, Christy K. Boscardin, Joan Herman, Steven A. Schneider, Sarah Madden, Barbara Jones
, June 2011
This study examined the effects of professional development integrating academic literacy and biology instruction on science teachers’ instructional practices and students’ achievement in science and literacy.

Paul Cobb, Kara Jackson
, May 2011
The authors comment on Porter, McMaken, Hwang, and Yang’s recent analysis of the Common Core State Standards for Mathematics by critiquing their measures of the focus of the standards and the absence of an assessment of coherence.

P. Wesley Schultz, Paul R. Hernandez, Anna Woodcock, Mica Estrada, Randie C. Chance, Maria Aguilar, Richard T. Serpe
, March 2011
This study reports results from a longitudinal study of students supported by a national National Institutes of Health–funded minority training program, and a propensity score matched control.

: Three Large-Scale Studies
Jeremy Roschelle, Nicole Shechtman, Deborah Tatar, Stephen Hegedus, Bill Hopkins, Susan Empson, Jennifer Knudsen, Lawrence P. Gallagher
, December 2010
The authors present three studies (two randomized controlled experiments and one embedded quasi-experiment) designed to evaluate the impact of replacement units targeting student learning of advanced middle school mathematics.

: Examining Disparities in College Major by Gender and Race/Ethnicity
Catherine Riegle-Crumb, Barbara King
, December 2010
The authors analyze national data on recent college matriculants to investigate gender and racial/ethnic disparities in STEM fields, with an eye toward the role of academic preparation and attitudes in shaping such disparities.

Mary Kay Stein, Julia H. Kaufman
, September 2010
This article begins to unravel the question, “What curricular materials work best under what kinds of conditions?” The authors address this question from the point of view of teachers and their ability to implement mathematics curricula that place varying demands and provide varying levels of support for their learning.

Andy R. Cavagnetto
, September 2010
This study of 54 articles from the research literature examines how argument interventions promote scientific literacy.

Victoria M. Hand
, March 2010
The researcher examined how the teacher and students in a low-track mathematics classroom jointly constructed opposition through their classroom interactions.

Terrence E. Murphy, Monica Gaughan, Robert Hume, S. Gordon Moore, Jr.
, March 2010
Researchers evaluate the association of a summer bridge program with the graduation rate of underrepresented minority (URM) students at a selective technical university.

23+ Quantitative Research Topics For STEM Students In The Philippines

Post author By Ankit
February 6, 2024

“Did you know only 28% of college graduates in the Philippines get degrees in STEM fields? Finding good research topics is vital to getting more Filipino students curious about quantitative studies.

With limited research money and resources, it can be hard for STEM students to find quantitative projects that are possible, new, and impactful. Often, researchers end up feeling apart from local issues and communities.

This blog post offers a unique collection of quantitative research topics for STEM students in the Philippines. Thus, drawing from current events, social issues, and the country’s needs, these project ideas will feel relevant and help students do research that creates positive change.

Philippines students can find inspiration for quantitative studies that make a difference at home through many examples across science, technology, engineering, and math.

Read Our Blog: 120+ Best Quantitative Research Topics for Nursing Students (2024 Edition)

Table of Contents

30 Great Quantitative Research Topics for STEM Students in The Philippines

Here are the top quantitative research topics for STEM students in the Philippines in 2024

1. Impact of Climate Change on Farming

Analyze how changing weather affects the growth of crops like rice and corn in different parts of the Philippines. Use numbers to find ways and suggest ways farmers can adapt.

2. Using Drones to Watch Nature

See how well drones with special sensors can watch over forests and coasts in the Philippines. Look at the data they gather to figure out how to save these places.

3. Making Solar Panels Work Better

Experiment with various ways to make more power with solar panels in sunny, humid places like the Philippines. Utilize math to guess how well they’ll work.

4. Checking How Pollution Hurts Coral Reefs

Count how much damage pollution does to coral reefs in the Philippines. Try to predict how bad it’ll get if we don’t stop polluting.

5. Watching Traffic to Fix Roads

Look at how cars move in big cities like Manila. Use math to figure out how to make traffic flow better and help people get around faster.

6. at Air and Sick People

Measure how clean the air is in various parts of the Philippines and see if it affects how many people get sick. Find out which areas need help to stay healthy.

7. Guessing When Earthquakes Might Happen

Look at data from sensors all over the Philippines to see if we can tell when earthquakes might come. Try to guess where they’ll occur next.

8. Making Water Pipes Better

Use math tricks to design cheap pipes that bring clean water to small towns in the Philippines. Think about things like hills and how many people need water.

9. Checking If Planting Trees Helps

Measure if planting trees helps stop the shore from washing away during storms. Use photos from far away and math to see if it’s working.

10. Teaching Computers to Find Sickness

Teach computers to look at pictures and records from hospitals to see if people are sick. Check if they’re good at spotting problems in the Philippines.

11. Finding Better Bags That Break Down

Test different materials like banana leaves to see which ones can be made into bags that don’t hurt the environment. Compare them to regular plastic bags.

12. Making Gardens in the City

See if we can grow vegetables in tall buildings in big cities like Manila. Use numbers to figure out if it’s a good idea.

13. Checking If Bugs Spread Easily in Crowded Places

Use computers to see if diseases spread fast in busy places in the Philippines. Look at how people move around to stop diseases from spreading.

14. Storing Energy for Islands Without Power

Think about ways to save power for small islands without electricity. Try out different ways to save energy and see which one works best.

15. Seeing How Much Storms Hurt Farms

Calculate how much damage storms do to farms in the Philippines. Use numbers to see how much money farmers lose.

16. Testing Ways to Stop Dirt from Washing Away

Try out different ways to stop dirt from being washed away when it rains. Use math to see which way works best on hills in the Philippines.

17. Checking How Healthy Local Food Is

Look at the vitamins and minerals in local foods like sweet potatoes and moringa leaves. See if eating them is good for people in the Philippines.

18. Making Cheap Water Cleaners

Build simple machines that clean dirty water in small towns. Notice if they work better than expensive ones.

19. Seeing How Hot Cities Get

Use satellites to see how hot cities like Manila get compared to places with more trees. Think about how this affects people.

20. Thinking About Trash in Cities

Look at how much trash cities in the Philippines make and find ways to deal with it. Consider what people can do to make less trash.

21. Checking If We Can Use Hot Rocks for Power

Look at rocks under the ground to see if we can get power from them. Consider whether it is beneficial for the environment.

22. Counting Animals in the Forest

Use cameras to count how many animals are in forests in the Philippines. Notice which places need the most help to keep animals safe.

23. Making Fishing Fair

Look at how many fish are caught in the Philippines and see if it’s fair. Think about ways to make sure there will always be enough fish to catch.

24. Making Power Lines Smarter

Design power lines that can change how much power they use. Try to make sure power goes where it’s needed most.

25. Looking at Dirty Water

Find out if chopping down trees and building things by rivers makes the water dirty. Think about what this means for people and animals.

26. Thinking About Big Waves

Use computers to see if big waves could hit the Philippines and what might happen. Think about how to keep people safe.

27. Seeing If Parks Help Cities

Ask people if they like having parks in their city and see what animals live there. Think about if parks make cities better.

28. Making Houses That Don’t Break in Storms

Make houses that don’t fall when there are big storms. Try to make them cheap so more people can have them.

29. Stopping Food from Going Bad

Look at how food gets from farms to people’s houses and see if we can stop it from going bad. Think about how to make sure people have enough to eat.

30. Seeing How Hot Cities Get

Put machines around cities to see how hot they get. Consider how this affects people and what we can do to help.

These topics will help you to make a good project that assists you in getting better scores.

Importance Of Quantitative Research For STEM Students

Read why quantitative research matters to Filipino students.

Helps us understand problems more clearly by revealing trends, patterns, and connections in the data
Provides an accurate picture by removing personal biases and opinions
Allows quantitative comparison of results if studies use the same methods
Enables testing hypotheses and theories through experiments that can prove/disprove predictions
Allows replication and verification as other researchers can redo experiments and study methods
Numbers give a more precise, factual understanding compared to qualitative data.
Removes subjectivity through quantitative data rather than opinions
A key part of the scientific process is that data helps confirm or reject proposed explanations.
Overall, collecting and analyzing quantitative data is crucial for gaining insights, testing ideas, ensuring consistency, and reducing bias

It’s time to see what challenges students face with their quantitative research.

Challenge Philippines Students Face With Their Quantitative Research

Here are the common challenges that students face with their quantitative research topics:

Lack of resources and funding

Doing quantitative research needs access to equipment, software , datasets etc, which can be costly. Many students lack funding and access to these resources.

Lack of background in mathematics and statistics

Quantitative research relies heavily on math and statistical skills. However, many students haven’t developed strong enough skills in these areas yet.

Difficulty accessing scholarly databases

Students need access to academic journals and databases for literature reviews. However, these can be costly for people to access.

Language barriers

Many of the academic literature is in English. This can make reading and learning complex statistical concepts more difficult.

Lack of mentorship

Having an experienced mentor to provide guidance is invaluable. However, not all students have access to mentorship in quantitative research.

Managing large datasets

Collecting, cleaning and analyzing large datasets requires advanced technical skills. Students may struggle without proper guidance.

Presenting results clearly

Learning how to visualize and communicate statistical findings effectively is an important skill that takes practice.

Ethical challenges

Ensuring quantitative studies are designed ethically can be difficult for novice researchers.

Writing scientifically

Adopting the formal, precise writing style required in quantitative research is challenging initially.

Maintaining motivation

Quantitative research is complex and time-consuming. Students may lose motivation without a strong support network.

While quantitative research presents many challenges, Philippines STEM students can overcome these through access to proper resources and support. With hard work, mentorship and collaborative opportunities, students can build essential skills and contribute to the quantitative research landscape.

Tips For Conducting Quantitative Research In The Philippines

When conducting research in a new cultural context like the Philippines, it is vital to take time to understand local norms and build trust. Approaching research openly and collaboratively will lead to more meaningful insights.

1. Get Required Approvals

Be sure to get any necessary ethics reviews or approvals from local governing boards before conducting the analysis. It is wise to follow proper protocols and permissions.

2. Hire Local Assistants

Hire local research helpers to help navigate logistics, translation, and cultural sensitivities. This provides jobs and insider insights.

3. Use Multiple Research Methods

Triangulate findings using interviews, focus groups, surveys, participant observation, etc. Multiple methods provide more potent and well-rounded results.

4. Verify Information

Politely verify information collected from interviews before publication. Follow up to ensure accurate representation and context.

5. Share Results

Report back to participants and communities on research findings and next steps. This shows respect and accountability for their contributions.

6. Acknowledge Limitations

Openly acknowledge the limitations of perspective and methods as an outside researcher. Remain humble and keep improving approaches.

Keep in mind, when entering a new community to conduct research, taking an open, patient, and collaborative approach leads to more ethical and meaningful results. Thus, making the effort to understand and work within cultural norms demonstrates respect.

STEM students in the Philippines have many possible research topics using numbers. They could look at renewable energy, sustainability, pollution, environment, disease prevention, farming improvements, preparing for natural disasters, building projects, transportation, and technology access.

By carefully analyzing statistics and creating mathematical models, young Filipino researchers can provide key ideas to guide future policies and programs. Quantitative research allows real observations and suggestions based on evidence to make the country better now and later.

Number-based methods help young researchers in the Philippines give tangible recommendations to improve their communities.

How can I limit my choices and pick the right research topic?

Think about what you enjoy and what you’re skilled at. Consider if your topic is meaningful and if you have the resources to study it. Get advice from teachers or friends to help you decide.

What are some common problems in doing math research in science, technology, engineering, and math?

Problems might include: 1. Finding data. 2. Make sure your measurements are correct. 3. Following rules about ethics. 4. Handling big sets of data.

How can I make sure my research is done well?

Plan your study carefully, use the correct methods and tools, write down everything you do, and think about the strengths and weaknesses of your work.

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STEM Students Hone Research Skills Through UCF’s Research Experience for Undergraduates Programs

UCF’s Center for Research in Computer Vision, led by Professor Mubarak Shah, has the nation’s longest-running REU program, continuously operating for 37 years.

By Eddy Duryea ’13 | September 3, 2024

A group of students and mentors for UCF's Center for Research in Computer Vision's 2024 REU program.

Sixty-seven undergraduate students from across the U.S. gathered at UCF to take advantage of STEM research opportunities through the Research Experience for Undergraduates (REU) program.

UCF’s REU site, funded by the U.S. National Science Foundation, connects promising STEM students with established faculty at REU sites, enhancing their in-class learning experience with research, workshops and events.

UCF’s Office of Undergraduate Research and Office of Research collaborate to support REU principal investigators and student participants. There are six cohorts covering distinct areas of research that are comprised of 11 principal investigators and dozens of graduate students, postdoctoral researchers and faculty mentors:

The Center for Research in Computer Vision (CRCV)
Center for Advanced Turbomachinery and Energy Research
Department of Physics and Renewable Energy and Chemical Transformation (REACT) Cluster
College of Engineering and Computer Science and the Department of Materials Science and Engineering
Department of Biology and Coastal Cluster
Department of Mathematics

UCF’s CRCV, led by director Mubarak Shah, has run the nation’s longest continuous REU program for 37 years. The university has maintained five or six REU programs since 2022, and UCF-based nonprofit Limbitless Solutions has been approved for next summer’s REU.

Students engage in a 10-to-12-week program and participate in workshops, labs and an individual research project that they may select from topics provided by corresponding mentors. Students then present their research to their cohort at the conclusion of the REU just before the start of the fall semester.

Launching Research and Accelerating Learning

Isabella Llamazares, a rising junior studying mechanical engineering at Florida International University, wanted to learn more about aerospace engineering but opportunities were limited at her school. She was accepted into the HYPER REU at UCF and was excited to supplement her learning.

“I always knew that I had to find other opportunities, and I knew that I wanted to come to UCF either for undergraduate or graduate studies,” Llamazares says. “This REU will help me back at my university. Although we don’t have aerospace down there, I’m part of an aviation club, and I have this as knowledge that I can build upon.”

With an interest in fluid dynamics and propulsion, her project described timing detonations as part of the combustion process for rockets and how to ultimately make them safer.

“I came in just having very basic knowledge from my classes,” Llamazares says. “I didn’t have the average aerospace engineering experience, but it was that dedication and really wanting to continue in this field that got me here. This REU and this project have really helped solidify that I want to pursue something related to the fluids field.”

James Hippelhauser ’11 ’20MS ’23PhD, a HYPER REU mentor and postdoctoral researcher for astrodynamics and space robotics, was pleased with his students.

“I’m definitely satisfied with their progress,” he says. “Astrodynamics is a topic that they don’t really get to learn from a classroom standpoint. I know they learned a lot just from a concept standpoint, but also applying it.”

Hippelhauser was impressed with how well the students absorbed and applied complicated topics such as orbital mechanics.

“It kind of reminded me a lot when I first started research,” he says. “It can be a challenge. Orbital mechanics isn’t a common topic especially for undergrads. They learned as much as they could and as fast as they could.”

Hippelhauser encourages prospective REU students interested in hypersonics, space, propulsion and energy to explore something they may not know.

“Don’t limit yourself to a topic you’re comfortable with,” he says. “Try to go for a topic that you would not have considered.”

Emmelia Lichty, a junior mechanical engineering major at Oral Roberts University, was drawn to UCF’s REU because she says she’s always loved space.

“My dad was an Air Force pilot and he flew fighter jets,” she says. “So, I got to see them up close and I’ve always been infatuated. I came here because everything aerospace is right here with NASA, the space coast, and UCF is so involved in aerospace research.”

Lichty worked under the mentorship of Florida Space Institute (FSI) Interim Director Julie Brisset to enhance a precision cooling loop for a space-based payload.

“Any fluctuations would affect the actual experiment itself,” Lichty says. “My cooling loop had to be very precise, within plus or minus point one degrees. I had to make the improvements and monitor hardware and code modifications to get the cooling loop to that precision, which I was able to do by the end of the summer.”

Emmelia Lichty, a junior mechanical engineering major at Oral Roberts University, participated in UCF's HYPER REU and helped stabilize a cooling loop mechanism for space-based payloads. She proudly presented her research in the final week of the REU when it concluded in summer.

The ability to not just apply classroom knowledge but move beyond it was something she says was very appealing and rewarding.

“Getting hands-on experience with problem-solving is a really a big part of the REU,” Lichty says. “You also get a taste of research, and it helps you make those decisions about your career, like if you want to go to grad school or not.”

Brisset, who also is an associate scientist with FSI, agrees that exposure to research is crucial in understanding and navigating a STEM education.

“There are two components that need to work together, both in the classroom and in the research lab,” she says. “Sometimes it can be an abstract exercise working in a classroom, but if you have a real-life application, it can be easier to make a connection.”

It was rewarding seeing Lichty immerse herself fully in her research, Brissett says.

“I think it was very complete,” she says. “Emmie did mechanical work, fluid mechanics, some electronics and some coding. In the end, it was a very complete lab experience. The research was a success as she achieved the cooling precision.”

The competitive nature of REUs across the board has increased, as well as the quality of applicants, Brisset says.

“We have undergrads who go through this program who stay in STEM and routinely end up in grad school,” she says. “We have people who are mid-career that come to us and say they discovered their love for astronomy when they did the REU program.”

Getting Out and Shoring Up

Rowan Wyss, a senior biology student at Eckerd College, participated in UCF’s Coastal Cluster REU, where he studied feral hog populations and their interactions with the environment and other animals at the Mosquito Lagoon.

He says found the research experience gratifying and hopes to continue quantifying where and how these animal populations forage.

“I was looking for an REU experience and was aware of its transformative nature — how it exposes you to grad school and different software or programs used for biology research,” Wyss says. “I got way more out of the REU than I thought. I built so many connections and I’m much more proficient in software and the tools of the trade.”

In the early stages of applying and even participating in the REU, it can be easy to feel the “imposter syndrome,” or feeling like you’ve lucked into a position you’re not qualified for despite being actually qualified, Wyss says.

“You’re surrounded with people extremely proficient in this field when you might have little to no research experience. But that’s just science. It’s never a competition. It’s people working together,” he says.

Otis Woolfolk, a junior studying biology/marine biology track at UCF, tested the resiliency and sustainability of novel non-plastic oyster bags filled with recycled shells to restore shorelines throughout Florida. Woolfolk’s research marks the first test of the new materials in warm water restoration conditions.

He learned about REUs after being encouraged to apply by his ecology professor, Melinda Donnelly, and through his volunteer work with UCF’s Coastal and Estuarine Ecology Lab.

“I was asked about the ideas I had for my Ph.D., and I really want to work on microplastics and how they affect mangroves,” Wolfolk says. “So, this was close to that. Oyster bags generally use plastics, so I experimented with using more environmentally friendly materials made of potato starch or basalt that deteriorate within years.”

He found the process exciting and enjoyed delving into a component of marine biology and conservation that he may not have considered had he not participated in the REU.

“As a novice scientist, I learned a huge amount,” Wolfolk says. “It’s a time for you to get messy and make mistakes. You’re doing research, doing workshops and you’re learning how the science world works.”

During his poster presentation, Wolfolk says he felt a newfound confidence in his ability as a novice scientist when a freshman asked him how to get involved with research.

“My advice?” he says. “Volunteer as much as possible and don’t doubt yourself.”

Otis Woolfolk, a junior studying biology/marine biology track at UCF, and Rowan Wyss, a senior biology student at Eckerd College, participated in UCF’s Coastal Cluster REU. They both gained valuable research experience that they plan to carry through their education and eventually into STEM careers.

Linda Walters, lead investigator for the Conservation, Restoration and Communication NSF REU site and Wolfolk’s REU mentor, says Wolfolk did an exemplary job in his research.

“It was very rewarding to watch this journey,” she says. “Otis had the opportunity to be on the ground-floor of our cutting-edge research in marine restoration this summer. He is gifted at asking good, thought-provoking questions and communicating his science.”

The program is very competitive and only 10 students were selected for the Coastal Cluster REU out of 377 applicants, says Walters, who also is a Pegasus Professor of biology. Those who participate in the REU usually continue their education through graduate school, she says.

“During the 10 weeks, the students go from a very limited research background to developing their research questions, collecting data, analyzing their data and presenting their projects to the larger community,” she says. “It is a lot of work for the mentors to keep everything on track for this accelerated timeline, but the students make it worthwhile. They become confident researchers in 10 weeks.”

Honing a Vision

UCF’s CRCV has hosted about 370 students since it was designated as an REU site 37 years ago and continues to guide undergraduates in the evolving field of computer vision, says Niels Lobo, associate professor of computer science and CRCV REU mentor.

“The nature of the REU has matured,” he says. “The field has evolved, and what students are doing now in their projects is vastly different than what people would have done 10 to 20 years ago.”

Lobo came to UCF 31 years ago and was encouraged to assist with REUs within the first year. Lobo has seen the composition of student applicants and participates becoming more diverse during his time at the university.

“What we’re seeing is that the student population applying for these research opportunities is exploding both in numbers and diversity,” he says. “That means that the overall experience of the cohort is going to be a little bit richer because everybody gets exposed to something different.”

Computer vision is harnessing the power of technology to not just view things through a camera, but to understand them, Lobo says. Continually adapting to the constant evolution of the field while also considering computer vision’s ethical implications are two components he is teaching students.

“Every two or three years, the field discovers something new,” Lobo says. “In research, there are no study guides, so you need to go out and explore. That process of discovery is only accomplished through research.”

Claire Zhang, a junior studying applied mathematics-computer science at Brown University, was glad to have embarked on CRCV REU.

She previously conducted remote research, but she says the program at UCF provided her with a more immersive and shared experience.

“It was really nice meeting this community and coming to work together,” Zhang says. “I imagined it being very independent, but I found that it was a lot more collaborative than I originally thought even though we all had our own independent projects.”

Her project involved creating segmentation masks for solar cells to show their degradation in a quantitative way rather than the qualitative way of identifying degradation by darkened glass regions of cells. Zhang created and used a model that outlines the materials and can characterize how degraded the cells are.

“I have almost no experience with material science,” she says. “This project connected material science to computer science, and it was a great introduction.”

Zhang gained not just expertise in a field she’s interested in, but also knowledge and momentum to continue her education and pursuit of a STEM career.

“For the past semester, I had been thinking about whether I should explore different concentrations,” she says. “This summer showed me that I can continue to explore other interests while remaining in this concentration, specifically, that I could apply computer science to these other interests.”

Students interested in more information about UCF’s REU program should visit: https://academicsuccess.ucf.edu/reu/programs/ .

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Any good experimental quantitative research topic for STEM students?

Need help please, I made 5 proposals for the past weeks but all got rejected dahil either not STEM related or just not feasible at all according to our research teacher. I seriously need your help guys, lutang na lutang na isip ko kakaisip ng research topic and worse, haggang Friday nalang since computan na ng grades for 1st quarter :((

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GRE Quantitative Reasoning Topics: A Simple Guide with Examples

The GRE Quantitative Reasoning section is a crucial part of the GRE, testing your mathematical skills, problem-solving abilities, and understanding of basic concepts. Excelling in this section requires a clear understanding of the key topics, a strategic approach to solving questions, and familiarity with the exam’s structure. This comprehensive guide will cover the essential GRE Quantitative Reasoning topics, offer valuable tips, and highlight strategies to help you achieve a high score.

Table of Content

Understanding the GRE Quantitative Reasoning Section

Key topics in gre quantitative reasoning, strategies for gre quantitative reasoning success, gre quantitative reasoning topics-faqs.

The GRE Quantitative Reasoning section assesses your ability to interpret and analyze quantitative information, solve problems using mathematical models, and apply basic mathematical skills. The section is divided into two 35-minute sections, each containing 20 questions. These questions are drawn from four main content areas: Arithmetic, Algebra, Geometry, and Data Analysis.

1. Arithmetic

Arithmetic forms the foundation of many GRE Quantitative Reasoning questions. Topics include:

Number Properties: Understand the properties of integers, rational numbers, and real numbers. Focus on concepts like divisibility, prime numbers, odd and even numbers, and the properties of exponents and roots.
Fractions, Decimals, and Percents: Be proficient in converting between fractions, decimals, and percents. Practice solving problems involving ratios, proportions, and percentage changes.
Absolute Value: Grasp the concept of absolute value and how it applies to both positive and negative numbers.
Estimation and Rounding: Learn how to estimate answers and round numbers to the nearest whole number or decimal place to save time during the exam.

Algebra is a significant part of the GRE Quantitative Reasoning section. Key topics include:

Equations and Inequalities: Master solving linear and quadratic equations, as well as inequalities. Understand how to manipulate equations to find solutions and interpret the results.
Functions and Graphs: Familiarize yourself with functions, their graphs, and how to interpret them. Know how to find the domain and range of a function and understand the concept of inverse functions.
Exponents and Radicals: Understand the rules of exponents and radicals, and practice simplifying expressions involving these concepts.
Polynomials and Factoring: Learn how to factor polynomials and solve polynomial equations. Focus on recognizing common factoring patterns and using them to solve equations quickly.

3. Geometry

Geometry questions on the GRE test your knowledge of shapes, sizes, and the properties of space. Important topics include:

Lines and Angles: Understand the properties of parallel and perpendicular lines, angles formed by transversals, and angle relationships in polygons.
Triangles: Know the different types of triangles (equilateral, isosceles, and scalene) and their properties. Be familiar with the Pythagorean theorem, special right triangles, and the properties of similar and congruent triangles.
Circles: Learn the properties of circles, including the relationships between radius, diameter, circumference, and area. Understand how to solve problems involving arcs, chords, and sectors.
Quadrilaterals and Polygons: Study the properties of quadrilaterals (rectangles, squares, parallelograms, and trapezoids) and other polygons. Be able to calculate the area and perimeter of these shapes.

4. Data Analysis

Data Analysis questions test your ability to interpret data and understand statistics. Key topics include:

Descriptive Statistics: Understand how to calculate mean, median, mode, range, and standard deviation. Know how to interpret data distributions and identify patterns.
Probability: Be familiar with basic probability concepts, including independent and dependent events, combinations, and permutations. Practice solving probability problems using different methods.
Data Interpretation: Learn how to read and interpret data presented in tables, charts, and graphs. Focus on understanding trends, making inferences, and drawing conclusions based on the data.
Counting Methods: Understand the principles of counting, including the use of combinations and permutations to solve problems involving arrangements and selections.

1. Understand the Question Types

The GRE Quantitative Reasoning section includes a variety of question types:

Multiple-choice Questions (Single Answer): These questions require you to select one correct answer from five options.
Multiple-choice Questions (Multiple Answers): In these questions, you must select all correct answers from a list of options. There may be more than one correct answer.
Numeric Entry Questions: These questions require you to enter your answer as a number in a provided box. No answer choices are given, so careful calculation is essential.
Quantitative Comparison Questions: These questions ask you to compare two quantities and determine the relationship between them. You must decide if one quantity is greater, if they are equal, or if the relationship cannot be determined.

2. Practice Time Management

Time management is critical in the GRE Quantitative Reasoning section. With only 35 minutes for each section, you must balance speed and accuracy. Here are some tips:

Pace Yourself: Aim to spend no more than 1.5 to 2 minutes on each question. If a question is taking too long, mark it and move on. You can return to it later if time permits.
Use Estimation: When appropriate, use estimation to quickly narrow down answer choices. This technique can save you valuable time.
Skip and Return: If you encounter a particularly difficult question, skip it and return to it later. This strategy ensures you maximize your time on questions you can solve confidently.

3. Develop a Strong Foundation in Math Basics

A strong grasp of basic math concepts is essential for success in GRE Quantitative Reasoning. Review key topics such as arithmetic, algebra, geometry, and data analysis. Ensure you understand the underlying principles and can apply them to solve complex problems.

4. Practice with Official GRE Materials

The best way to prepare for the GRE Quantitative Reasoning section is to practice with official GRE materials. The ETS (Educational Testing Service) provides practice tests and sample questions that closely mirror the actual exam. Use these resources to familiarize yourself with the question types, difficulty level, and format of the GRE.

5. Analyze Your Practice Tests

Taking practice tests is essential, but analyzing your performance is equally important. After each practice test, review your answers and identify areas where you struggled. Focus your study efforts on these weak areas, and track your progress over time.

6. Master Data Interpretation

Data interpretation questions are a significant part of the GRE Quantitative Reasoning section. To excel in these questions:

Read the Data Carefully: Take your time to carefully read and understand the data presented in tables, charts, and graphs. Pay attention to labels, units, and scales.
Identify Trends and Patterns: Look for trends, patterns, and relationships in the data. This will help you answer questions more efficiently.
Practice with Real Data: Use real-world data sources, such as newspapers and online articles, to practice interpreting data. This will help you develop the skills needed for the GRE.

Also Read: GRE Exam Syllabus 2024 GRE 2024: Exam Dates, Registration, Syllabus, and Score Validity GRE Accepting Universities in USA in 2024: GRE Score Required for US Universities MS in Data Science in USA Without GRE: Universities & Requirements

Mastering the GRE Quantitative Reasoning section requires a solid understanding of the key topics, strategic time management, and consistent practice. By focusing on arithmetic, algebra, geometry, and data analysis, you can build a strong foundation for success. Incorporate these tips and strategies into your study plan, and you’ll be well on your way to achieving a high score on the GRE Quantitative Reasoning section. Remember, practice makes perfect, so keep working on your math skills and take full advantage of official GRE resources to hone your abilities. Good luck!

What are the topics of quantitative reasoning?

Algebraic representation, factoring, approximations, significant digits, scientific notation, ratios and proportions, square roots, radicals and exponents, logarithms, graphing linear equations, vectors, and the metric system are some of the subjects covered.

Is 145 a good quantitative GRE score?

It’s 75th percentile or higher for the majority of programs: 157+ for Verbal Reasoning and 165+ for Quantitative Reasoning. A score in the 90th percentile or above is required for elite programs: 162+ in Quant and 169+ in Verbal.

Is 154 a good quantitative GRE score?

Quantitative reasoning scores range from 153 to 158, with an average of 154 out of 170 being deemed “good.” In general, a score in this area indicates that you are outperforming other test takers in terms of score over the 50th percentile. Admission to elite programs may need a score of 159 or better.

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Here are the key characteristics of quantitative research topics for STEM Students: Measurable Data: Quantitative topics examine things that can be measured and quantified with numbers, allowing statistical analysis of the data. Statistical Analysis: Quantitative topics use mathematical statistics to analyze numerical data and spot patterns ...
PDF List Of 125+ Quantitative Research Topics for STEM Students
including biology, chemistry, physics, mathematics, computer science, engineering, and. environmental science. These research endeavors contribute to theoretical frameworks and practical applications, technological innovations, and evidence-based decision- making. Here is a list of 200 quantitative research topics for STEM students.
55 Brilliant Research Topics For STEM Students
There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students. A study of protease inhibitor and how it operates. A study of how men's exercise impacts DNA traits passed to children. A study of the future of commercial space flight.
Quantitative Research Topics for Stem Students
Choosing the right research topic is important for STEM (Science, Technology, Engineering, and Mathematics) students. Quantitative research focuses on numbers and data analysis, making it suitable…
199+ Quantitative Research Topics For STEM Students to Try Now
30 Quantitative Research Topic Ideas For STEM Students. Investigating the properties and applications of novel materials created through 3D printing. Studying the effectiveness of virtual reality simulations for medical training programs. Analyzing the feasibility and methods for mineral extraction from asteroids.
Experimental Quantitative Research Topics For Stem Students
Experimental Quantitative Research Topics For Stem Students. 1. Impact of Variable X on Y: Examine how changes in X affect Y using controlled experiments. 2. Algorithm Efficiency in Different Conditions: Test algorithm performance under varying data loads. 3.
189+ Experimental Quantitative Research Topics For STEM Students
Here are 8 key points on how to do experimental research effectively. 1. Clear Research Focus. Begin by defining a clear and focused research question. A well-defined question provides a purpose and direction for your experiment, guiding your choices in variables and methodology. 2.
199+ Engaging Quantitative Research Topics for STEM Students
199+ Engaging Quantitative Research Topics for STEM Students. March 20, 2024 by Rupam. Discover engaging quantitative research topics for STEM students, spanning energy solutions, medical advancements, and cutting-edge technology. Explore hands-on ideas to sharpen skills and make a tangible impact on the future. Hey STEM buddy!
139+ Best Experimental Research Topics for STEM Students
Experimental Research Topics for STEM Students About Plants. Check out experiemental research topics for STEM students about plants:-. Light Color and Growth: Test how different light colors affect plant height. Watering Frequency: Compare plant growth with daily vs. weekly watering. Soil Types: See how different soils affect plant growth.
200 Quantitative Research Title for Stem Students
Quantitative research involves gathering numerical data to answer specific questions, and it's a fundamental part of STEM fields. To help you get started on your research journey, we've compiled a list of 200 quantitative research title for stem students. These titles span various STEM disciplines, from biology to computer science.
55 Brilliant Research Topics For STEM Students (2024)
There are several science research topics for STEM students. Below are some possible quantitative research topics for STEM students. A study of protease inhibitor and how it operates. A study of how men's exercise impacts DNA traits passed to children. A study of the future of commercial space flight.
100+ Best Quantitative Research Topics For Students In 2023
An example of quantitative research topics for 12 th -grade students will come in handy if you want to score a good grade. Here are some of the best ones: The link between global warming and climate change. What is the greenhouse gas impact on biodiversity and the atmosphere.
STEM Research Topics: 200+ Great Choices
July 17, 2024. 10 minutes. Table of Contents. STEM stands for Science, Technology, Engineering, and Math. It is essential for learning and discovery, helping us understand the world, solve problems, and think critically. STEM research goes beyond classroom learning, allowing us to explore specific areas in greater detail.
Research and trends in STEM education: a systematic review of journal
With the rapid increase in the number of scholarly publications on STEM education in recent years, reviews of the status and trends in STEM education research internationally support the development of the field. For this review, we conducted a systematic analysis of 798 articles in STEM education published between 2000 and the end of 2018 in 36 journals to get an overview about developments ...
500+ Quantitative Research Titles and Topics
Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology, economics, and other fields where researchers aim to understand human behavior and phenomena through statistical analysis. If you are looking for a quantitative research topic, there are numerous areas ...
Trending Topic Research: STEM
Trending Topic Research File. Science, Technology Engineering, and Mathematics (STEM) is one of the most talked about topics in education, emphasizing research, problem solving, critical thinking, and creativity. The following compendium of open-access articles are inclusive of all substantive AERA journal content regarding STEM published since ...
23+ Quantitative Research Topics For STEM Students In ...
Here are the top quantitative research topics for STEM students in the Philippines in 2024. 1. Impact of Climate Change on Farming. Analyze how changing weather affects the growth of crops like rice and corn in different parts of the Philippines. Use numbers to find ways and suggest ways farmers can adapt. 2.
STEM Students Hone Research Skills Through UCF's Research Experience
Students engage in a 10-to-12-week program and participate in workshops, labs and an individual research project that they may select from topics provided by corresponding mentors. Students then present their research to their cohort at the conclusion of the REU just before the start of the fall semester. Launching Research and Accelerating ...
Any good experimental quantitative research topic for STEM students
Since you are a STEM student (like me but Im already College), most experimental quanti researches I've read so far are alternatives of this and that (eg. Alternative for Cell Staining)... so take time to go to library and read existing research. Need help please, I made 5 proposals for the past weeks but all got rejected dahil either not STEM ...
GRE Quantitative Reasoning Topics: A Simple Guide with Examples
Key Topics in GRE Quantitative Reasoning 1. Arithmetic. Arithmetic forms the foundation of many GRE Quantitative Reasoning questions. Topics include: Number Properties: Understand the properties of integers, rational numbers, and real numbers. Focus on concepts like divisibility, prime numbers, odd and even numbers, and the properties of ...

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23+ Quantitative Research Topics For STEM Students In The Philippines

30 Great Quantitative Research Topics for STEM Students in The Philippines

Importance Of Quantitative Research For STEM Students

Challenge Philippines Students Face With Their Quantitative Research

Tips For Conducting Quantitative Research In The Philippines

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GRE Quantitative Reasoning Topics: A Simple Guide with Examples

Understanding the GRE Quantitative Reasoning Section

1. Arithmetic

3. Geometry

4. Data Analysis

1. Understand the Question Types

2. Practice Time Management

3. Develop a Strong Foundation in Math Basics

4. Practice with Official GRE Materials

5. Analyze Your Practice Tests

6. Master Data Interpretation

What are the topics of quantitative reasoning?

Is 145 a good quantitative GRE score?

Is 154 a good quantitative GRE score?

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Best 151+ Quantitative Research Topics for STEM Students

What is Quantitative Research in STEM?

Importance of Quantitative Research Topics for STEM Students

1. Empirical Evidence

2. Data-Driven Decision-Making

3. Innovation

4. Problem Solving

5. Interdisciplinary Applications

Quantitative Research Topics for STEM Students

Biology and Life Sciences

Engineering

Environmental Science

Computer Science

Mathematics

Earth Sciences

Health Sciences and Medicine

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189+ Good Quantitative Research Topics For STEM Students

What Is Quantitative Research

How To Choose Quantitative Research Topics For STEM

Step 1:- Identify Your Interests and Passions

Step 2:- Review Coursework and Textbooks

Step 3:- Consult with Professors and Advisors

Step 4:- Read Recent Literature

Step 5:- Narrow Down Your Focus

Step 6:- Consider Resources and Access

Step 7:- Think About Practicality

Step 8:- Define Your Research Question

Step 9:- Conduct a Literature Review

Step 10:- Consider the Impact

Step 11:- Brainstorm Research Methods

Step 12:- Seek Feedback

Step 13:- Assess Ethical Considerations

Step 14:- Finalize Your Research Topic

Step 15:- Stay Open to Adjustments

Quantitative Research Topics In Physics and Astronomy

Quantitative Research Topics In Biology and Life Sciences

Engineering and Technology Quantitative Research Topics

Quantitative Research Topics In Mathematics and Statistics

Experimental Quantitative Research Topics In Science and Earth Sciences

Chemistry and Materials Science Quantitative Research Topics

Computer Science and Information Technology Topics

Good Quantitative Research Topics Students In Medicine and Healthcare

Agriculture and Food Sciences Topics

Social Sciences with Quantitative Approaches

Environmental Engineering Quantitative Research Topics

Quantitative Research Topics Robotics and Automation

Quantitative Research Topics Materials Engineering

Nuclear Engineering Quantitative Research Topics

Quantitative Research Topics In Biomedical Engineering

Good Quantitative Research Topics Chemical Engineering

Best Quantitative Research Topics In Renewable Energy

Brilliant Quantitative Research Topics In Astronomy and Space Sciences

Quantitative Research Topics In Psychology and Cognitive Science

Geology and Geological Engineering Quantitative Research Topics

Top Quantitative Research Topics In Forensic Science

Great Quantitative Research Topics In Cybersecurity

Mathematical Biology Quantitative Research Topics

Quantitative Research Topics In Chemical Analysis

Mathematics Education Quantitative Research Topics

Quantitative Research Topics In Social Research

Quantitative Research Topics In Computational Neuroscience

Best Topics In Transportation Engineering

Good Quantitative Research Topics In Energy Economics

Quantum Information Science

Human Genetics

Marine Biology

Data Science and Machine Learning

Environmental Engineering

1. Understanding a Phenomenon

2. Testing Hypotheses

3. Contributing to Knowledge

4. Informing Decision-Making

5. Enhancing Understanding

6. Application

7. Contributing to Theory

Conclusion – Quantitative Research Topics For STEM Students

What is quantitative research in STEM?

What are good examples of quantitative research?