thesis problems of students

While Sandel argues that pursuing perfection through genetic engineering would decrease our sense of humility, he claims that the sense of solidarity we would lose is also important.

This thesis summarizes several points in Sandel’s argument, but it does not make a claim about how we should understand his argument. A reader who read Sandel’s argument would not also need to read an essay based on this descriptive thesis.

Broad thesis (arguable, but difficult to support with evidence)

Michael Sandel’s arguments about genetic engineering do not take into consideration all the relevant issues.

This is an arguable claim because it would be possible to argue against it by saying that Michael Sandel’s arguments do take all of the relevant issues into consideration. But the claim is too broad. Because the thesis does not specify which “issues” it is focused on—or why it matters if they are considered—readers won’t know what the rest of the essay will argue, and the writer won’t know what to focus on. If there is a particular issue that Sandel does not address, then a more specific version of the thesis would include that issue—hand an explanation of why it is important.

Arguable thesis with analytical claim

While Sandel argues persuasively that our instinct to “remake” (54) ourselves into something ever more perfect is a problem, his belief that we can always draw a line between what is medically necessary and what makes us simply “better than well” (51) is less convincing.

This is an arguable analytical claim. To argue for this claim, the essay writer will need to show how evidence from the article itself points to this interpretation. It’s also a reasonable scope for a thesis because it can be supported with evidence available in the text and is neither too broad nor too narrow.

Arguable thesis with normative claim

Given Sandel’s argument against genetic enhancement, we should not allow parents to decide on using Human Growth Hormone for their children.

This thesis tells us what we should do about a particular issue discussed in Sandel’s article, but it does not tell us how we should understand Sandel’s argument.

Questions to ask about your thesis

Is the thesis truly arguable? Does it speak to a genuine dilemma in the source, or would most readers automatically agree with it?
Is the thesis too obvious? Again, would most or all readers agree with it without needing to see your argument?
Is the thesis complex enough to require a whole essay's worth of argument?
Is the thesis supportable with evidence from the text rather than with generalizations or outside research?
Would anyone want to read a paper in which this thesis was developed? That is, can you explain what this paper is adding to our understanding of a problem, question, or topic?
picture_as_pdf Thesis

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Writing a Paper: Thesis Statements

Basics of thesis statements.

The thesis statement is the brief articulation of your paper's central argument and purpose. You might hear it referred to as simply a "thesis." Every scholarly paper should have a thesis statement, and strong thesis statements are concise, specific, and arguable. Concise means the thesis is short: perhaps one or two sentences for a shorter paper. Specific means the thesis deals with a narrow and focused topic, appropriate to the paper's length. Arguable means that a scholar in your field could disagree (or perhaps already has!).

Strong thesis statements address specific intellectual questions, have clear positions, and use a structure that reflects the overall structure of the paper. Read on to learn more about constructing a strong thesis statement.

Being Specific

This thesis statement has no specific argument:

Needs Improvement: In this essay, I will examine two scholarly articles to find similarities and differences.

This statement is concise, but it is neither specific nor arguable—a reader might wonder, "Which scholarly articles? What is the topic of this paper? What field is the author writing in?" Additionally, the purpose of the paper—to "examine…to find similarities and differences" is not of a scholarly level. Identifying similarities and differences is a good first step, but strong academic argument goes further, analyzing what those similarities and differences might mean or imply.

Better: In this essay, I will argue that Bowler's (2003) autocratic management style, when coupled with Smith's (2007) theory of social cognition, can reduce the expenses associated with employee turnover.

The new revision here is still concise, as well as specific and arguable. We can see that it is specific because the writer is mentioning (a) concrete ideas and (b) exact authors. We can also gather the field (business) and the topic (management and employee turnover). The statement is arguable because the student goes beyond merely comparing; he or she draws conclusions from that comparison ("can reduce the expenses associated with employee turnover").

Making a Unique Argument

This thesis draft repeats the language of the writing prompt without making a unique argument:

Needs Improvement: The purpose of this essay is to monitor, assess, and evaluate an educational program for its strengths and weaknesses. Then, I will provide suggestions for improvement.

You can see here that the student has simply stated the paper's assignment, without articulating specifically how he or she will address it. The student can correct this error simply by phrasing the thesis statement as a specific answer to the assignment prompt.

Better: Through a series of student interviews, I found that Kennedy High School's antibullying program was ineffective. In order to address issues of conflict between students, I argue that Kennedy High School should embrace policies outlined by the California Department of Education (2010).

Words like "ineffective" and "argue" show here that the student has clearly thought through the assignment and analyzed the material; he or she is putting forth a specific and debatable position. The concrete information ("student interviews," "antibullying") further prepares the reader for the body of the paper and demonstrates how the student has addressed the assignment prompt without just restating that language.

Creating a Debate

This thesis statement includes only obvious fact or plot summary instead of argument:

Needs Improvement: Leadership is an important quality in nurse educators.

A good strategy to determine if your thesis statement is too broad (and therefore, not arguable) is to ask yourself, "Would a scholar in my field disagree with this point?" Here, we can see easily that no scholar is likely to argue that leadership is an unimportant quality in nurse educators. The student needs to come up with a more arguable claim, and probably a narrower one; remember that a short paper needs a more focused topic than a dissertation.

Better: Roderick's (2009) theory of participatory leadership is particularly appropriate to nurse educators working within the emergency medicine field, where students benefit most from collegial and kinesthetic learning.

Here, the student has identified a particular type of leadership ("participatory leadership"), narrowing the topic, and has made an arguable claim (this type of leadership is "appropriate" to a specific type of nurse educator). Conceivably, a scholar in the nursing field might disagree with this approach. The student's paper can now proceed, providing specific pieces of evidence to support the arguable central claim.

Choosing the Right Words

This thesis statement uses large or scholarly-sounding words that have no real substance:

Needs Improvement: Scholars should work to seize metacognitive outcomes by harnessing discipline-based networks to empower collaborative infrastructures.

There are many words in this sentence that may be buzzwords in the student's field or key terms taken from other texts, but together they do not communicate a clear, specific meaning. Sometimes students think scholarly writing means constructing complex sentences using special language, but actually it's usually a stronger choice to write clear, simple sentences. When in doubt, remember that your ideas should be complex, not your sentence structure.

Better: Ecologists should work to educate the U.S. public on conservation methods by making use of local and national green organizations to create a widespread communication plan.

Notice in the revision that the field is now clear (ecology), and the language has been made much more field-specific ("conservation methods," "green organizations"), so the reader is able to see concretely the ideas the student is communicating.

Leaving Room for Discussion

This thesis statement is not capable of development or advancement in the paper:

Needs Improvement: There are always alternatives to illegal drug use.

This sample thesis statement makes a claim, but it is not a claim that will sustain extended discussion. This claim is the type of claim that might be appropriate for the conclusion of a paper, but in the beginning of the paper, the student is left with nowhere to go. What further points can be made? If there are "always alternatives" to the problem the student is identifying, then why bother developing a paper around that claim? Ideally, a thesis statement should be complex enough to explore over the length of the entire paper.

Better: The most effective treatment plan for methamphetamine addiction may be a combination of pharmacological and cognitive therapy, as argued by Baker (2008), Smith (2009), and Xavier (2011).

In the revised thesis, you can see the student make a specific, debatable claim that has the potential to generate several pages' worth of discussion. When drafting a thesis statement, think about the questions your thesis statement will generate: What follow-up inquiries might a reader have? In the first example, there are almost no additional questions implied, but the revised example allows for a good deal more exploration.

Thesis Mad Libs

If you are having trouble getting started, try using the models below to generate a rough model of a thesis statement! These models are intended for drafting purposes only and should not appear in your final work.

In this essay, I argue ____, using ______ to assert _____.
While scholars have often argued ______, I argue______, because_______.
Through an analysis of ______, I argue ______, which is important because_______.

Words to Avoid and to Embrace

When drafting your thesis statement, avoid words like explore, investigate, learn, compile, summarize , and explain to describe the main purpose of your paper. These words imply a paper that summarizes or "reports," rather than synthesizing and analyzing.

Instead of the terms above, try words like argue, critique, question , and interrogate . These more analytical words may help you begin strongly, by articulating a specific, critical, scholarly position.

Read Kayla's blog post for tips on taking a stand in a well-crafted thesis statement.

Related Resources

Didn't find what you need? Email us at [email protected] .

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Home » Thesis – Structure, Example and Writing Guide

Thesis – Structure, Example and Writing Guide

Table of contents.

Definition:

Thesis is a scholarly document that presents a student’s original research and findings on a particular topic or question. It is usually written as a requirement for a graduate degree program and is intended to demonstrate the student’s mastery of the subject matter and their ability to conduct independent research.

History of Thesis

The concept of a thesis can be traced back to ancient Greece, where it was used as a way for students to demonstrate their knowledge of a particular subject. However, the modern form of the thesis as a scholarly document used to earn a degree is a relatively recent development.

The origin of the modern thesis can be traced back to medieval universities in Europe. During this time, students were required to present a “disputation” in which they would defend a particular thesis in front of their peers and faculty members. These disputations served as a way to demonstrate the student’s mastery of the subject matter and were often the final requirement for earning a degree.

In the 17th century, the concept of the thesis was formalized further with the creation of the modern research university. Students were now required to complete a research project and present their findings in a written document, which would serve as the basis for their degree.

The modern thesis as we know it today has evolved over time, with different disciplines and institutions adopting their own standards and formats. However, the basic elements of a thesis – original research, a clear research question, a thorough review of the literature, and a well-argued conclusion – remain the same.

Structure of Thesis

The structure of a thesis may vary slightly depending on the specific requirements of the institution, department, or field of study, but generally, it follows a specific format.

Here’s a breakdown of the structure of a thesis:

This is the first page of the thesis that includes the title of the thesis, the name of the author, the name of the institution, the department, the date, and any other relevant information required by the institution.

This is a brief summary of the thesis that provides an overview of the research question, methodology, findings, and conclusions.

This page provides a list of all the chapters and sections in the thesis and their page numbers.

Introduction

This chapter provides an overview of the research question, the context of the research, and the purpose of the study. The introduction should also outline the methodology and the scope of the research.

Literature Review

This chapter provides a critical analysis of the relevant literature on the research topic. It should demonstrate the gap in the existing knowledge and justify the need for the research.

Methodology

This chapter provides a detailed description of the research methods used to gather and analyze data. It should explain the research design, the sampling method, data collection techniques, and data analysis procedures.

This chapter presents the findings of the research. It should include tables, graphs, and charts to illustrate the results.

This chapter interprets the results and relates them to the research question. It should explain the significance of the findings and their implications for the research topic.

This chapter summarizes the key findings and the main conclusions of the research. It should also provide recommendations for future research.

This section provides a list of all the sources cited in the thesis. The citation style may vary depending on the requirements of the institution or the field of study.

This section includes any additional material that supports the research, such as raw data, survey questionnaires, or other relevant documents.

How to write Thesis

Here are some steps to help you write a thesis:

Choose a Topic: The first step in writing a thesis is to choose a topic that interests you and is relevant to your field of study. You should also consider the scope of the topic and the availability of resources for research.
Develop a Research Question: Once you have chosen a topic, you need to develop a research question that you will answer in your thesis. The research question should be specific, clear, and feasible.
Conduct a Literature Review: Before you start your research, you need to conduct a literature review to identify the existing knowledge and gaps in the field. This will help you refine your research question and develop a research methodology.
Develop a Research Methodology: Once you have refined your research question, you need to develop a research methodology that includes the research design, data collection methods, and data analysis procedures.
Collect and Analyze Data: After developing your research methodology, you need to collect and analyze data. This may involve conducting surveys, interviews, experiments, or analyzing existing data.
Write the Thesis: Once you have analyzed the data, you need to write the thesis. The thesis should follow a specific structure that includes an introduction, literature review, methodology, results, discussion, conclusion, and references.
Edit and Proofread: After completing the thesis, you need to edit and proofread it carefully. You should also have someone else review it to ensure that it is clear, concise, and free of errors.
Submit the Thesis: Finally, you need to submit the thesis to your academic advisor or committee for review and evaluation.

Example of Thesis

Example of Thesis template for Students:

Title of Thesis

Table of Contents:

Chapter 1: Introduction

Chapter 2: Literature Review

Chapter 3: Research Methodology

Chapter 4: Results

Chapter 5: Discussion

Chapter 6: Conclusion

References:

Appendices:

Note: That’s just a basic template, but it should give you an idea of the structure and content that a typical thesis might include. Be sure to consult with your department or supervisor for any specific formatting requirements they may have. Good luck with your thesis!

Application of Thesis

Thesis is an important academic document that serves several purposes. Here are some of the applications of thesis:

Academic Requirement: A thesis is a requirement for many academic programs, especially at the graduate level. It is an essential component of the evaluation process and demonstrates the student’s ability to conduct original research and contribute to the knowledge in their field.
Career Advancement: A thesis can also help in career advancement. Employers often value candidates who have completed a thesis as it demonstrates their research skills, critical thinking abilities, and their dedication to their field of study.
Publication : A thesis can serve as a basis for future publications in academic journals, books, or conference proceedings. It provides the researcher with an opportunity to present their research to a wider audience and contribute to the body of knowledge in their field.
Personal Development: Writing a thesis is a challenging task that requires time, dedication, and perseverance. It provides the student with an opportunity to develop critical thinking, research, and writing skills that are essential for their personal and professional development.
Impact on Society: The findings of a thesis can have an impact on society by addressing important issues, providing insights into complex problems, and contributing to the development of policies and practices.

Purpose of Thesis

The purpose of a thesis is to present original research findings in a clear and organized manner. It is a formal document that demonstrates a student’s ability to conduct independent research and contribute to the knowledge in their field of study. The primary purposes of a thesis are:

To Contribute to Knowledge: The main purpose of a thesis is to contribute to the knowledge in a particular field of study. By conducting original research and presenting their findings, the student adds new insights and perspectives to the existing body of knowledge.
To Demonstrate Research Skills: A thesis is an opportunity for the student to demonstrate their research skills. This includes the ability to formulate a research question, design a research methodology, collect and analyze data, and draw conclusions based on their findings.
To Develop Critical Thinking: Writing a thesis requires critical thinking and analysis. The student must evaluate existing literature and identify gaps in the field, as well as develop and defend their own ideas.
To Provide Evidence of Competence : A thesis provides evidence of the student’s competence in their field of study. It demonstrates their ability to apply theoretical concepts to real-world problems, and their ability to communicate their ideas effectively.
To Facilitate Career Advancement : Completing a thesis can help the student advance their career by demonstrating their research skills and dedication to their field of study. It can also provide a basis for future publications, presentations, or research projects.

When to Write Thesis

The timing for writing a thesis depends on the specific requirements of the academic program or institution. In most cases, the opportunity to write a thesis is typically offered at the graduate level, but there may be exceptions.

Generally, students should plan to write their thesis during the final year of their graduate program. This allows sufficient time for conducting research, analyzing data, and writing the thesis. It is important to start planning the thesis early and to identify a research topic and research advisor as soon as possible.

In some cases, students may be able to write a thesis as part of an undergraduate program or as an independent research project outside of an academic program. In such cases, it is important to consult with faculty advisors or mentors to ensure that the research is appropriately designed and executed.

It is important to note that the process of writing a thesis can be time-consuming and requires a significant amount of effort and dedication. It is important to plan accordingly and to allocate sufficient time for conducting research, analyzing data, and writing the thesis.

Characteristics of Thesis

The characteristics of a thesis vary depending on the specific academic program or institution. However, some general characteristics of a thesis include:

Originality : A thesis should present original research findings or insights. It should demonstrate the student’s ability to conduct independent research and contribute to the knowledge in their field of study.
Clarity : A thesis should be clear and concise. It should present the research question, methodology, findings, and conclusions in a logical and organized manner. It should also be well-written, with proper grammar, spelling, and punctuation.
Research-Based: A thesis should be based on rigorous research, which involves collecting and analyzing data from various sources. The research should be well-designed, with appropriate research methods and techniques.
Evidence-Based : A thesis should be based on evidence, which means that all claims made in the thesis should be supported by data or literature. The evidence should be properly cited using appropriate citation styles.
Critical Thinking: A thesis should demonstrate the student’s ability to critically analyze and evaluate information. It should present the student’s own ideas and arguments, and engage with existing literature in the field.
Academic Style : A thesis should adhere to the conventions of academic writing. It should be well-structured, with clear headings and subheadings, and should use appropriate academic language.

Advantages of Thesis

There are several advantages to writing a thesis, including:

Development of Research Skills: Writing a thesis requires extensive research and analytical skills. It helps to develop the student’s research skills, including the ability to formulate research questions, design and execute research methodologies, collect and analyze data, and draw conclusions based on their findings.
Contribution to Knowledge: Writing a thesis provides an opportunity for the student to contribute to the knowledge in their field of study. By conducting original research, they can add new insights and perspectives to the existing body of knowledge.
Preparation for Future Research: Completing a thesis prepares the student for future research projects. It provides them with the necessary skills to design and execute research methodologies, analyze data, and draw conclusions based on their findings.
Career Advancement: Writing a thesis can help to advance the student’s career. It demonstrates their research skills and dedication to their field of study, and provides a basis for future publications, presentations, or research projects.
Personal Growth: Completing a thesis can be a challenging and rewarding experience. It requires dedication, hard work, and perseverance. It can help the student to develop self-confidence, independence, and a sense of accomplishment.

Limitations of Thesis

There are also some limitations to writing a thesis, including:

Time and Resources: Writing a thesis requires a significant amount of time and resources. It can be a time-consuming and expensive process, as it may involve conducting original research, analyzing data, and producing a lengthy document.
Narrow Focus: A thesis is typically focused on a specific research question or topic, which may limit the student’s exposure to other areas within their field of study.
Limited Audience: A thesis is usually only read by a small number of people, such as the student’s thesis advisor and committee members. This limits the potential impact of the research findings.
Lack of Real-World Application : Some thesis topics may be highly theoretical or academic in nature, which may limit their practical application in the real world.
Pressure and Stress : Writing a thesis can be a stressful and pressure-filled experience, as it may involve meeting strict deadlines, conducting original research, and producing a high-quality document.
Potential for Isolation: Writing a thesis can be a solitary experience, as the student may spend a significant amount of time working independently on their research and writing.

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How to Write a Problem Statement | Guide & Examples

How to Write a Problem Statement | Guide & Examples

Published on November 6, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

A problem statement is a concise and concrete summary of the research problem you seek to address. It should:

Contextualize the problem. What do we already know?
Describe the exact issue your research will address. What do we still need to know?
Show the relevance of the problem. Why do we need to know more about this?
Set the objectives of the research. What will you do to find out more?

When should you write a problem statement, step 1: contextualize the problem, step 2: show why it matters, step 3: set your aims and objectives.

Problem statement example

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The problem statement should frame your research problem, giving some background on what is already known.

Practical research problems

For practical research, focus on the concrete details of the situation:

Where and when does the problem arise?
Who does the problem affect?
What attempts have been made to solve the problem?

Theoretical research problems

For theoretical research, think about the scientific, social, geographical and/or historical background:

What is already known about the problem?
Is the problem limited to a certain time period or geographical area?
How has the problem been defined and debated in the scholarly literature?

The problem statement should also address the relevance of the research. Why is it important that the problem is addressed?

Don’t worry, this doesn’t mean you have to do something groundbreaking or world-changing. It’s more important that the problem is researchable, feasible, and clearly addresses a relevant issue in your field.

Practical research is directly relevant to a specific problem that affects an organization, institution, social group, or society more broadly. To make it clear why your research problem matters, you can ask yourself:

What will happen if the problem is not solved?
Who will feel the consequences?
Does the problem have wider relevance? Are similar issues found in other contexts?

Sometimes theoretical issues have clear practical consequences, but sometimes their relevance is less immediately obvious. To identify why the problem matters, ask:

How will resolving the problem advance understanding of the topic?
What benefits will it have for future research?
Does the problem have direct or indirect consequences for society?

Finally, the problem statement should frame how you intend to address the problem. Your goal here should not be to find a conclusive solution, but rather to propose more effective approaches to tackling or understanding it.

The research aim is the overall purpose of your research. It is generally written in the infinitive form:

The aim of this study is to determine …
This project aims to explore …
This research aims to investigate …

The research objectives are the concrete steps you will take to achieve the aim:

Qualitative methods will be used to identify …
This work will use surveys to collect …
Using statistical analysis, the research will measure …

The aims and objectives should lead directly to your research questions.

Learn how to formulate research questions

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You can use these steps to write your own problem statement, like the example below.

Step 1: Contextualize the problem A family-owned shoe manufacturer has been in business in New England for several generations, employing thousands of local workers in a variety of roles, from assembly to supply-chain to customer service and retail. Employee tenure in the past always had an upward trend, with the average employee staying at the company for 10+ years. However, in the past decade, the trend has reversed, with some employees lasting only a few months, and others leaving abruptly after many years.

Step 2: Show why it matters As the perceived loyalty of their employees has long been a source of pride for the company, they employed an outside consultant firm to see why there was so much turnover. The firm focused on the new hires, concluding that a rival shoe company located in the next town offered higher hourly wages and better “perks”, such as pizza parties. They claimed this was what was leading employees to switch. However, to gain a fuller understanding of why the turnover persists even after the consultant study, in-depth qualitative research focused on long-term employees is also needed. Focusing on why established workers leave can help develop a more telling reason why turnover is so high, rather than just due to salaries. It can also potentially identify points of change or conflict in the company’s culture that may cause workers to leave.

Step 3: Set your aims and objectives This project aims to better understand why established workers choose to leave the company. Qualitative methods such as surveys and interviews will be conducted comparing the views of those who have worked 10+ years at the company and chose to stay, compared with those who chose to leave.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

Sampling methods
Simple random sampling
Stratified sampling
Cluster sampling
Likert scales
Reproducibility

Statistics

Null hypothesis
Statistical power
Probability distribution
Effect size
Poisson distribution

Research bias

Optimism bias
Cognitive bias
Implicit bias
Hawthorne effect
Anchoring bias
Explicit bias

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement .

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

All research questions should be:

Focused on a single problem or issue
Researchable using primary and/or secondary sources
Feasible to answer within the timeframe and practical constraints
Specific enough to answer thoroughly
Complex enough to develop the answer over the space of a paper or thesis
Relevant to your field of study and/or society more broadly

Research objectives describe what you intend your research project to accomplish.

They summarize the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

Your research objectives indicate how you’ll try to address your research problem and should be specific:

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. & George, T. (2023, November 20). How to Write a Problem Statement | Guide & Examples. Scribbr. Retrieved September 3, 2024, from https://www.scribbr.com/research-process/problem-statement/

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The purpose of this study was to investigate the challenges faced by research students during thesis writing. Qualitative research methodology was adopted to conduct this study. Research questions were developed to achieve the research objectives. The population of the study was comprised of research students working on their thesis or recently passed out. Purposive sampling technique was adopted. The research tool of the study was interview guide. Interviews were conducted with a sample of 40 research students studying in Library and Information Science/Information Management Departments in public and private sector universities of Punjab province. Thematic approach was adopted to analyze the interview data. The results showed that it is challenging for research students to select the topic for research, develop focus on study, acquiring knowledge of information sources, developing online searching skills, developing data analysis skills and time management skills. They also faced ...

JELT: Journal of English Language Teaching

Fitria Yani

This research was included in quantitative research which aims to find out the problems and factors experienced by students so that it affects their difficulties in completing the thesis. The subjects of this study were 19 students of the 2018 English Department of Batanghari Jambi University who had completed their thesis. This research collected data through questionnaires distributed online using Google form. In this research, three main factors are identified that affecting undergraduate thesis writing. First, psychological factors which include self-esteem, anxiety, and motivation. Furthermore, the second factor is socio-cultural factors which include the social distance among each student and the social distance between students and supervisors. Lastly, linguistic factors which include domain error analysis and extent of error analysis. The results showed that psychology factors got a percentage of 40.36%, socio-cultural factors got a percentage of 29.66%, and linguistic facto...

Journal of Foreign Language Teaching and Learning

Yustinus Calvin Gai Mali

The literature has overwhelmingly explained challenges in writing the undergraduate thesis from students' perspectives. Yet, there is a scarcity of research that presents the perspectives of thesis supervisors about the challenges experienced by their EFL students and, at the same time, on possible solutions to solve them. This qualitative study presented two English as a Foreign Language (EFL) lecturers' narratives on challenges EFL students experienced when writing their undergraduate thesis and on solutions to deal with those challenges. The research data was collected through a reflective essay written by the lecturers, who then met in an online synchronous meeting to discuss what they wrote in the essay. While the data analysis communicated various things, the students' challenges in writing their undergraduate thesis were commonly about finding a research topic, writing the literature review, and using various academic vocabulary. In light of the results, possible solutions to solve the challenges, practical recommendations for EFL thesis writing and teaching activities, and guiding questions for further research were presented. This study should benefit EFL thesis supervisors to reflect on their own experiences, find areas for improvement and enhance their thesis supervisory practices. This study also hopes to benefit EFL students who wish to learn practical strategies to progress with their undergraduate thesis.

International Journal of Humanities, Arts and Social Sciences

IJHASS Journal

The current study aims at investigating the difficulties encountering Jordanian EFL students in the writing problem statement section. The study grouped those difficulties into two main categories, namely academic skills difficulties and language skills difficulties. It has been noticed that undergraduate as well as postgraduate students, lack the required skills enabling them to conduct a well-constructed research article, which sparkles the idea of this study. In addition, no previous study has examined the challenges encountered by Jordanian EFL students when conducting a research paper in general and the problem statement section in particular. For the purpose of collecting the required data of the present study, twenty Jordanian EFL students had a teaching program about research writing skills. They were introduced thoroughly to all sections of the research article, with special emphasis on the research problem, section which is the main concern of this study following that the participants were given a month period to accomplish their research papers before submission. The results of the study reveal that the participants lack the academic skills enabling them to conduct a well-constructed problem statement section. More specifically, the vast majority of the participants fail to provide an overview of their topics and to identify their research gap within the current literature. The study also shows that the participants face serious grammatical errors when writing research problem section. It could be concluded that conducting a scholarly research article in general and problem statement, in particular, is a demanding issue and need to be further highlighted by researchers and academicians to identify the challenges facing learners.

International Journal of Research Publication and Reviews

Undergraduates faced difficulties when the students were in the process of writing a thesis in order to obtain a bachelor's degree This study was aimed to examine the factors affecting undergraduates' difficulties in writing thesis and identify the dominant factors. This study based on the primary data gathered through questionnaire survey based on a five point Likert scale from a sample of 80 undergraduates of Faculty of Management and commerce of South Eastern University of Sri Lanka academic year 2014/2015. Descriptive quantitative design was used in this research. For the data analysis, this study used descriptive analysis and graphical presentation by using SPSS software and Excel to analyze. The result revealed that mainly, there are three factors affecting undergraduates' difficulties in writing thesis, they are Psychological, Socio-cultural and Linguistics factors. (1) undergraduates' difficulties in psychological factors 3.55 as a mean value., (2) undergraduates' difficulties in sociocultural factors 3.25 as a mean value. (3) undergraduates' difficulties in linguistic factors 3.48 as a mean value. From the three factors it is concluded that psychological factor is the highest difficulties faced by undergraduates. Finally, it was found that first, dominant score of psychological factor is the self-esteem (35.14%) and they were difficulty in gaining the data of thesis (3.79) and difficulty in choosing the title of thesis (3.71). Second, dominant score of socio-cultural factor is the students-lecturer relationship (34.32%), and they were communication problems with supervisors (3.39). Third, dominant score of linguistic factor is the diction (34.64%), and they were difficulty choosing the right vocabulary (3.65) and difficulty using punctuation, capitalization (3.61).

English Review: Journal of English Education

This is a report of a study designed to examine the process of thesis—a final (research-based) paper for undergrads prior to academic completion—writing of English Department students who graduated in Academic Year 2007/2008. Using a descriptive method, this case study aimed to describe the stages, to identify the problems, and to explore the techniques of solving problems used by respondents in the thesis writing by involving six students who had engaged in writing and research project course. The data concerning writing stages, problems, and coping with strategies were collected by using questionnaires, interviews, and documentation (thesis). The results showed that all participants went through the thesis writing stages determined by Faculty of Adab of UIN Sunan Gunung Djati, Bandung, namely: 1) Starting process; 2) Researching; 3) Reporting; and 4) Doing consultation. These also showed that all respondents encountered: 1) Procedural problems, which were likely to be the major problems shared by all respondents; 2) Academic problems; and 3) Non-academic problems. However, whatever problems they dealt with, each of them had his/ her own strategies to cope with. The procedural and academic problems were coped with by reading, doing consultation, and peer-collaboration. Meanwhile, non-academic problems were solved by having a rest and managing time.

Poppy Rahayu

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Computer Science Thesis Topics

This page provides a comprehensive list of computer science thesis topics , carefully curated to support students in identifying and selecting innovative and relevant areas for their academic research. Whether you are at the beginning of your research journey or are seeking a specific area to explore further, this guide aims to serve as an essential resource. With an expansive array of topics spread across various sub-disciplines of computer science, this list is designed to meet a diverse range of interests and academic needs. From the complexities of artificial intelligence to the intricate designs of web development, each category is equipped with 40 specific topics, offering a breadth of possibilities to inspire your next big thesis project. Explore our guide to find not only a topic that resonates with your academic ambitions but also one that has the potential to contribute significantly to the field of computer science.

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Internet Of Things (IoT) Thesis Topics

Machine Learning Thesis Topics

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The Role of Hardware in Network Security
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Developments in Non-Volatile Memory Technologies
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Computer Vision for Environmental Monitoring
Thermal Imaging and Its Applications in Computer Vision
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The Impact of Computer Vision on Virtual Reality Experiences
Biometrics: Enhancing Security Systems with Computer Vision
Computer Vision for Wildlife Conservation: Species Recognition and Behavior Analysis
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The Integration of AI in Computer Vision: Ethical and Technical Considerations
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The Future of Computer Vision in Smart Cities
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The Role of Computer Vision in the Manufacturing of Customized Products
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The Use of Computer Vision in Behavioral Research
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Image Synthesis with Generative Adversarial Networks (GANs)
The Use of Computer Vision in Remote Sensing
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The Role of Computer Vision in Telemedicine
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Artificial Intelligence in Cybersecurity: Threat Detection and Response
Blockchain for Enhanced Security in Distributed Networks
The Impact of IoT on Cybersecurity: Vulnerabilities and Solutions
Cybersecurity in Cloud Computing: Best Practices and Tools
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The Role of Human Factors in Cybersecurity Breaches
Privacy-preserving Technologies in an Age of Surveillance
The Evolution of Ransomware Attacks and Defense Strategies
Secure Software Development: Integrating Security in DevOps (DevSecOps)
Cybersecurity in Critical Infrastructure: Challenges and Innovations
The Future of Biometric Security Systems
Cyber Warfare: State-sponsored Attacks and Defense Mechanisms
The Role of Cybersecurity in Protecting Digital Identities
Social Engineering Attacks: Prevention and Countermeasures
Mobile Security: Protecting Against Malware and Exploits
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Quantum Computing and Its Implications for Cybersecurity
Cybersecurity and Remote Work: Emerging Threats and Strategies
IoT Security in Industrial Applications
Cyber Insurance: Risk Assessment and Management
Security Challenges in Edge Computing Environments
Anomaly Detection in Network Security Using AI Techniques
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Machine Learning Algorithms for Predictive Analytics
Data Science in Healthcare: Improving Patient Outcomes with Predictive Models
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Data Visualization Tools and Techniques for Enhanced Business Intelligence
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Personalization Technologies in Healthcare Through Data Science
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Designing Fault-Tolerant Systems in Distributed Networks
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Machine Learning Algorithms for Network Traffic Analysis
Load Balancing Techniques in Distributed Computing
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The Evolution of Software-Defined Networking (SDN) in Enterprise Environments
Implementing Robust Cybersecurity Measures in Distributed Systems
Quantum Computing: Implications for Network Security in Distributed Systems
Peer-to-Peer Network Protocols and Their Applications
The Internet of Things (IoT): Network Challenges and Communication Protocols
Real-Time Data Processing in Distributed Sensor Networks
The Role of Artificial Intelligence in Optimizing Network Operations
Privacy and Data Protection Strategies in Distributed Systems
The Future of Distributed Computing in Cloud Environments
Energy Efficiency in Distributed Network Systems
Wireless Mesh Networks: Design, Challenges, and Applications
Multi-Access Edge Computing (MEC): Use Cases and Deployment Challenges
Consensus Algorithms in Distributed Systems: From Blockchain to New Applications
The Use of Containers and Microservices in Building Scalable Applications
Network Slicing for 5G: Opportunities and Challenges
The Role of Distributed Systems in Big Data Analytics
Managing Data Consistency in Distributed Databases
The Impact of Distributed Systems on Digital Transformation Strategies
Augmented Reality over Distributed Networks: Performance and Scalability Issues
The Application of Distributed Systems in Smart Grid Technology
Developing Distributed Applications Using Serverless Architectures
The Challenges of Implementing IPv6 in Distributed Networks
Distributed Systems for Disaster Recovery: Design and Implementation
The Use of Virtual Reality in Distributed Network Environments
Security Protocols for Ad Hoc Networks in Emergency Situations
The Role of Distributed Networks in Enhancing Mobile Broadband Services
Next-Generation Protocols for Enhanced Network Reliability and Performance
The Application of Blockchain in Securing Distributed IoT Networks
Dynamic Resource Allocation Strategies in Distributed Systems
The Integration of Distributed Systems with Existing IT Infrastructure
The Future of Autonomous Systems in Distributed Networking
The Integration of GIS with Remote Sensing for Environmental Monitoring
GIS in Urban Planning: Techniques for Sustainable Development
The Role of GIS in Disaster Management and Response Strategies
Real-Time GIS Applications in Traffic Management and Route Planning
The Use of GIS in Water Resource Management
GIS and Public Health: Tracking Epidemics and Healthcare Access
Advances in 3D GIS: Technologies and Applications
GIS in Agricultural Management: Precision Farming Techniques
The Impact of GIS on Biodiversity Conservation Efforts
Spatial Data Analysis for Crime Pattern Detection and Prevention
GIS in Renewable Energy: Site Selection and Resource Management
The Role of GIS in Historical Research and Archaeology
GIS and Machine Learning: Integrating Spatial Analysis with Predictive Models
Cloud Computing and GIS: Enhancing Accessibility and Data Processing
The Application of GIS in Managing Public Transportation Systems
GIS in Real Estate: Market Analysis and Property Valuation
The Use of GIS for Environmental Impact Assessments
Mobile GIS Applications: Development and Usage Trends
GIS and Its Role in Smart City Initiatives
Privacy Issues in the Use of Geographic Information Systems
GIS in Forest Management: Monitoring and Conservation Strategies
The Impact of GIS on Tourism: Enhancing Visitor Experiences through Technology
GIS in the Insurance Industry: Risk Assessment and Policy Design
The Development of Participatory GIS (PGIS) for Community Engagement
GIS in Coastal Management: Addressing Erosion and Flood Risks
Geospatial Analytics in Retail: Optimizing Location and Consumer Insights
GIS for Wildlife Tracking and Habitat Analysis
The Use of GIS in Climate Change Studies
GIS and Social Media: Analyzing Spatial Trends from User Data
The Future of GIS: Augmented Reality and Virtual Reality Applications
GIS in Education: Tools for Teaching Geographic Concepts
The Role of GIS in Land Use Planning and Zoning
GIS for Emergency Medical Services: Optimizing Response Times
Open Source GIS Software: Development and Community Contributions
GIS and the Internet of Things (IoT): Converging Technologies for Advanced Monitoring
GIS for Mineral Exploration: Techniques and Applications
The Role of GIS in Municipal Management and Services
GIS and Drone Technology: A Synergy for Precision Mapping
Spatial Statistics in GIS: Techniques for Advanced Data Analysis
Future Trends in GIS: The Integration of AI for Smarter Solutions
The Evolution of User Interface (UI) Design: From Desktop to Mobile and Beyond
The Role of HCI in Enhancing Accessibility for Disabled Users
Virtual Reality (VR) and Augmented Reality (AR) in HCI: New Dimensions of Interaction
The Impact of HCI on User Experience (UX) in Software Applications
Cognitive Aspects of HCI: Understanding User Perception and Behavior
HCI and the Internet of Things (IoT): Designing Interactive Smart Devices
The Use of Biometrics in HCI: Security and Usability Concerns
HCI in Educational Technologies: Enhancing Learning through Interaction
Emotional Recognition and Its Application in HCI
The Role of HCI in Wearable Technology: Design and Functionality
Advanced Techniques in Voice User Interfaces (VUIs)
The Impact of HCI on Social Media Interaction Patterns
HCI in Healthcare: Designing User-Friendly Medical Devices and Software
HCI and Gaming: Enhancing Player Engagement and Experience
The Use of HCI in Robotic Systems: Improving Human-Robot Interaction
The Influence of HCI on E-commerce: Optimizing User Journeys and Conversions
HCI in Smart Homes: Interaction Design for Automated Environments
Multimodal Interaction: Integrating Touch, Voice, and Gesture in HCI
HCI and Aging: Designing Technology for Older Adults
The Role of HCI in Virtual Teams: Tools and Strategies for Collaboration
User-Centered Design: HCI Strategies for Developing User-Focused Software
HCI Research Methodologies: Experimental Design and User Studies
The Application of HCI Principles in the Design of Public Kiosks
The Future of HCI: Integrating Artificial Intelligence for Smarter Interfaces
HCI in Transportation: Designing User Interfaces for Autonomous Vehicles
Privacy and Ethics in HCI: Addressing User Data Security
HCI and Environmental Sustainability: Promoting Eco-Friendly Behaviors
Adaptive Interfaces: HCI Design for Personalized User Experiences
The Role of HCI in Content Creation: Tools for Artists and Designers
HCI for Crisis Management: Designing Systems for Emergency Use
The Use of HCI in Sports Technology: Enhancing Training and Performance
The Evolution of Haptic Feedback in HCI
HCI and Cultural Differences: Designing for Global User Bases
The Impact of HCI on Digital Marketing: Creating Engaging User Interactions
HCI in Financial Services: Improving User Interfaces for Banking Apps
The Role of HCI in Enhancing User Trust in Technology
HCI for Public Safety: User Interfaces for Security Systems
The Application of HCI in the Film and Television Industry
HCI and the Future of Work: Designing Interfaces for Remote Collaboration
Innovations in HCI: Exploring New Interaction Technologies and Their Applications
Deep Learning Techniques for Advanced Image Segmentation
Real-Time Image Processing for Autonomous Driving Systems
Image Enhancement Algorithms for Underwater Imaging
Super-Resolution Imaging: Techniques and Applications
The Role of Image Processing in Remote Sensing and Satellite Imagery Analysis
Machine Learning Models for Medical Image Diagnosis
The Impact of AI on Photographic Restoration and Enhancement
Image Processing in Security Systems: Facial Recognition and Motion Detection
Advanced Algorithms for Image Noise Reduction
3D Image Reconstruction Techniques in Tomography
Image Processing for Agricultural Monitoring: Crop Disease Detection and Yield Prediction
Techniques for Panoramic Image Stitching
Video Image Processing: Real-Time Streaming and Data Compression
The Application of Image Processing in Printing Technology
Color Image Processing: Theory and Practical Applications
The Use of Image Processing in Biometrics Identification
Computational Photography: Image Processing Techniques in Smartphone Cameras
Image Processing for Augmented Reality: Real-time Object Overlay
The Development of Image Processing Algorithms for Traffic Control Systems
Pattern Recognition and Analysis in Forensic Imaging
Adaptive Filtering Techniques in Image Processing
Image Processing in Retail: Customer Tracking and Behavior Analysis
The Role of Image Processing in Cultural Heritage Preservation
Image Segmentation Techniques for Cancer Detection in Medical Imaging
High Dynamic Range (HDR) Imaging: Algorithms and Display Techniques
Image Classification with Deep Convolutional Neural Networks
The Evolution of Edge Detection Algorithms in Image Processing
Image Processing for Wildlife Monitoring: Species Recognition and Behavior Analysis
Application of Wavelet Transforms in Image Compression
Image Processing in Sports: Enhancing Broadcasts and Performance Analysis
Optical Character Recognition (OCR) Improvements in Document Scanning
Multi-Spectral Imaging for Environmental and Earth Studies
Image Processing for Space Exploration: Analysis of Planetary Images
Real-Time Image Processing for Event Surveillance
The Influence of Quantum Computing on Image Processing Speed and Security
Machine Vision in Manufacturing: Defect Detection and Quality Control
Image Processing in Neurology: Visualizing Brain Functions
Photogrammetry and Image Processing in Geology: 3D Terrain Mapping
Advanced Techniques in Image Watermarking for Copyright Protection
The Future of Image Processing: Integrating AI for Automated Editing
The Evolution of Enterprise Resource Planning (ERP) Systems in the Digital Age
Information Systems for Managing Distributed Workforces
The Role of Information Systems in Enhancing Supply Chain Management
Cybersecurity Measures in Information Systems
The Impact of Big Data on Decision Support Systems
Blockchain Technology for Information System Security
The Development of Sustainable IT Infrastructure in Information Systems
The Use of AI in Information Systems for Business Intelligence
Information Systems in Healthcare: Improving Patient Care and Data Management
The Influence of IoT on Information Systems Architecture
Mobile Information Systems: Development and Usability Challenges
The Role of Geographic Information Systems (GIS) in Urban Planning
Social Media Analytics: Tools and Techniques in Information Systems
Information Systems in Education: Enhancing Learning and Administration
Cloud Computing Integration into Corporate Information Systems
Information Systems Audit: Practices and Challenges
User Interface Design and User Experience in Information Systems
Privacy and Data Protection in Information Systems
The Future of Quantum Computing in Information Systems
The Role of Information Systems in Environmental Management
Implementing Effective Knowledge Management Systems
The Adoption of Virtual Reality in Information Systems
The Challenges of Implementing ERP Systems in Multinational Corporations
Information Systems for Real-Time Business Analytics
The Impact of 5G Technology on Mobile Information Systems
Ethical Issues in the Management of Information Systems
Information Systems in Retail: Enhancing Customer Experience and Management
The Role of Information Systems in Non-Profit Organizations
Development of Decision Support Systems for Strategic Planning
Information Systems in the Banking Sector: Enhancing Financial Services
Risk Management in Information Systems
The Integration of Artificial Neural Networks in Information Systems
Information Systems and Corporate Governance
Information Systems for Disaster Response and Management
The Role of Information Systems in Sports Management
Information Systems for Public Health Surveillance
The Future of Information Systems: Trends and Predictions
Information Systems in the Film and Media Industry
Business Process Reengineering through Information Systems
Implementing Customer Relationship Management (CRM) Systems in E-commerce
Emerging Trends in Artificial Intelligence and Machine Learning
The Future of Cloud Services and Technology
Cybersecurity: Current Threats and Future Defenses
The Role of Information Technology in Sustainable Energy Solutions
Internet of Things (IoT): From Smart Homes to Smart Cities
Blockchain and Its Impact on Information Technology
The Use of Big Data Analytics in Predictive Modeling
Virtual Reality (VR) and Augmented Reality (AR): The Next Frontier in IT
The Challenges of Digital Transformation in Traditional Businesses
Wearable Technology: Health Monitoring and Beyond
5G Technology: Implementation and Impacts on IT
Biometrics Technology: Uses and Privacy Concerns
The Role of IT in Global Health Initiatives
Ethical Considerations in the Development of Autonomous Systems
Data Privacy in the Age of Information Overload
The Evolution of Software Development Methodologies
Quantum Computing: The Next Revolution in IT
IT Governance: Best Practices and Standards
The Integration of AI in Customer Service Technology
IT in Manufacturing: Industrial Automation and Robotics
The Future of E-commerce: Technology and Trends
Mobile Computing: Innovations and Challenges
Information Technology in Education: Tools and Trends
IT Project Management: Approaches and Tools
The Role of IT in Media and Entertainment
The Impact of Digital Marketing Technologies on Business Strategies
IT in Logistics and Supply Chain Management
The Development and Future of Autonomous Vehicles
IT in the Insurance Sector: Enhancing Efficiency and Customer Engagement
The Role of IT in Environmental Conservation
Smart Grid Technology: IT at the Intersection of Energy Management
Telemedicine: The Impact of IT on Healthcare Delivery
IT in the Agricultural Sector: Innovations and Impact
Cyber-Physical Systems: IT in the Integration of Physical and Digital Worlds
The Influence of Social Media Platforms on IT Development
Data Centers: Evolution, Technologies, and Sustainability
IT in Public Administration: Improving Services and Transparency
The Role of IT in Sports Analytics
Information Technology in Retail: Enhancing the Shopping Experience
The Future of IT: Integrating Ethical AI Systems

Internet of Things (IoT) Thesis Topics

Enhancing IoT Security: Strategies for Safeguarding Connected Devices
IoT in Smart Cities: Infrastructure and Data Management Challenges
The Application of IoT in Precision Agriculture: Maximizing Efficiency and Yield
IoT and Healthcare: Opportunities for Remote Monitoring and Patient Care
Energy Efficiency in IoT: Techniques for Reducing Power Consumption in Devices
The Role of IoT in Supply Chain Management and Logistics
Real-Time Data Processing Using Edge Computing in IoT Networks
Privacy Concerns and Data Protection in IoT Systems
The Integration of IoT with Blockchain for Enhanced Security and Transparency
IoT in Environmental Monitoring: Systems for Air Quality and Water Safety
Predictive Maintenance in Industrial IoT: Strategies and Benefits
IoT in Retail: Enhancing Customer Experience through Smart Technology
The Development of Standard Protocols for IoT Communication
IoT in Smart Homes: Automation and Security Systems
The Role of IoT in Disaster Management: Early Warning Systems and Response Coordination
Machine Learning Techniques for IoT Data Analytics
IoT in Automotive: The Future of Connected and Autonomous Vehicles
The Impact of 5G on IoT: Enhancements in Speed and Connectivity
IoT Device Lifecycle Management: From Creation to Decommissioning
IoT in Public Safety: Applications for Emergency Response and Crime Prevention
The Ethics of IoT: Balancing Innovation with Consumer Rights
IoT and the Future of Work: Automation and Labor Market Shifts
Designing User-Friendly Interfaces for IoT Applications
IoT in the Energy Sector: Smart Grids and Renewable Energy Integration
Quantum Computing and IoT: Potential Impacts and Applications
The Role of AI in Enhancing IoT Solutions
IoT for Elderly Care: Technologies for Health and Mobility Assistance
IoT in Education: Enhancing Classroom Experiences and Learning Outcomes
Challenges in Scaling IoT Infrastructure for Global Coverage
The Economic Impact of IoT: Industry Transformations and New Business Models
IoT and Tourism: Enhancing Visitor Experiences through Connected Technologies
Data Fusion Techniques in IoT: Integrating Diverse Data Sources
IoT in Aquaculture: Monitoring and Managing Aquatic Environments
Wireless Technologies for IoT: Comparing LoRa, Zigbee, and NB-IoT
IoT and Intellectual Property: Navigating the Legal Landscape
IoT in Sports: Enhancing Training and Audience Engagement
Building Resilient IoT Systems against Cyber Attacks
IoT for Waste Management: Innovations and System Implementations
IoT in Agriculture: Drones and Sensors for Crop Monitoring
The Role of IoT in Cultural Heritage Preservation: Monitoring and Maintenance
Advanced Algorithms for Supervised and Unsupervised Learning
Machine Learning in Genomics: Predicting Disease Propensity and Treatment Outcomes
The Use of Neural Networks in Image Recognition and Analysis
Reinforcement Learning: Applications in Robotics and Autonomous Systems
The Role of Machine Learning in Natural Language Processing and Linguistic Analysis
Deep Learning for Predictive Analytics in Business and Finance
Machine Learning for Cybersecurity: Detection of Anomalies and Malware
Ethical Considerations in Machine Learning: Bias and Fairness
The Integration of Machine Learning with IoT for Smart Device Management
Transfer Learning: Techniques and Applications in New Domains
The Application of Machine Learning in Environmental Science
Machine Learning in Healthcare: Diagnosing Conditions from Medical Images
The Use of Machine Learning in Algorithmic Trading and Stock Market Analysis
Machine Learning in Social Media: Sentiment Analysis and Trend Prediction
Quantum Machine Learning: Merging Quantum Computing with AI
Feature Engineering and Selection in Machine Learning
Machine Learning for Enhancing User Experience in Mobile Applications
The Impact of Machine Learning on Digital Marketing Strategies
Machine Learning for Energy Consumption Forecasting and Optimization
The Role of Machine Learning in Enhancing Network Security Protocols
Scalability and Efficiency of Machine Learning Algorithms
Machine Learning in Drug Discovery and Pharmaceutical Research
The Application of Machine Learning in Sports Analytics
Machine Learning for Real-Time Decision-Making in Autonomous Vehicles
The Use of Machine Learning in Predicting Geographical and Meteorological Events
Machine Learning for Educational Data Mining and Learning Analytics
The Role of Machine Learning in Audio Signal Processing
Predictive Maintenance in Manufacturing Through Machine Learning
Machine Learning and Its Implications for Privacy and Surveillance
The Application of Machine Learning in Augmented Reality Systems
Deep Learning Techniques in Medical Diagnosis: Challenges and Opportunities
The Use of Machine Learning in Video Game Development
Machine Learning for Fraud Detection in Financial Services
The Role of Machine Learning in Agricultural Optimization and Management
The Impact of Machine Learning on Content Personalization and Recommendation Systems
Machine Learning in Legal Tech: Document Analysis and Case Prediction
Adaptive Learning Systems: Tailoring Education Through Machine Learning
Machine Learning in Space Exploration: Analyzing Data from Space Missions
Machine Learning for Public Sector Applications: Improving Services and Efficiency
The Future of Machine Learning: Integrating Explainable AI
Innovations in Convolutional Neural Networks for Image and Video Analysis
Recurrent Neural Networks: Applications in Sequence Prediction and Analysis
The Role of Neural Networks in Predicting Financial Market Trends
Deep Neural Networks for Enhanced Speech Recognition Systems
Neural Networks in Medical Imaging: From Detection to Diagnosis
Generative Adversarial Networks (GANs): Applications in Art and Media
The Use of Neural Networks in Autonomous Driving Technologies
Neural Networks for Real-Time Language Translation
The Application of Neural Networks in Robotics: Sensory Data and Movement Control
Neural Network Optimization Techniques: Overcoming Overfitting and Underfitting
The Integration of Neural Networks with Blockchain for Data Security
Neural Networks in Climate Modeling and Weather Forecasting
The Use of Neural Networks in Enhancing Internet of Things (IoT) Devices
Graph Neural Networks: Applications in Social Network Analysis and Beyond
The Impact of Neural Networks on Augmented Reality Experiences
Neural Networks for Anomaly Detection in Network Security
The Application of Neural Networks in Bioinformatics and Genomic Data Analysis
Capsule Neural Networks: Improving the Robustness and Interpretability of Deep Learning
The Role of Neural Networks in Consumer Behavior Analysis
Neural Networks in Energy Sector: Forecasting and Optimization
The Evolution of Neural Network Architectures for Efficient Learning
The Use of Neural Networks in Sentiment Analysis: Techniques and Challenges
Deep Reinforcement Learning: Strategies for Advanced Decision-Making Systems
Neural Networks for Precision Medicine: Tailoring Treatments to Individual Genetic Profiles
The Use of Neural Networks in Virtual Assistants: Enhancing Natural Language Understanding
The Impact of Neural Networks on Pharmaceutical Research
Neural Networks for Supply Chain Management: Prediction and Automation
The Application of Neural Networks in E-commerce: Personalization and Recommendation Systems
Neural Networks for Facial Recognition: Advances and Ethical Considerations
The Role of Neural Networks in Educational Technologies
The Use of Neural Networks in Predicting Economic Trends
Neural Networks in Sports: Analyzing Performance and Strategy
The Impact of Neural Networks on Digital Security Systems
Neural Networks for Real-Time Video Surveillance Analysis
The Integration of Neural Networks in Edge Computing Devices
Neural Networks for Industrial Automation: Improving Efficiency and Accuracy
The Future of Neural Networks: Towards More General AI Applications
Neural Networks in Art and Design: Creating New Forms of Expression
The Role of Neural Networks in Enhancing Public Health Initiatives
The Future of Neural Networks: Challenges in Scalability and Generalization
The Evolution of Programming Paradigms: Functional vs. Object-Oriented Programming
Advances in Compiler Design and Optimization Techniques
The Impact of Programming Languages on Software Security
Developing Programming Languages for Quantum Computing
Machine Learning in Automated Code Generation and Optimization
The Role of Programming in Developing Scalable Cloud Applications
The Future of Web Development: New Frameworks and Technologies
Cross-Platform Development: Best Practices in Mobile App Programming
The Influence of Programming Techniques on Big Data Analytics
Real-Time Systems Programming: Challenges and Solutions
The Integration of Programming with Blockchain Technology
Programming for IoT: Languages and Tools for Device Communication
Secure Coding Practices: Preventing Cyber Attacks through Software Design
The Role of Programming in Data Visualization and User Interface Design
Advances in Game Programming: Graphics, AI, and Network Play
The Impact of Programming on Digital Media and Content Creation
Programming Languages for Robotics: Trends and Future Directions
The Use of Artificial Intelligence in Enhancing Programming Productivity
Programming for Augmented and Virtual Reality: New Challenges and Techniques
Ethical Considerations in Programming: Bias, Fairness, and Transparency
The Future of Programming Education: Interactive and Adaptive Learning Models
Programming for Wearable Technology: Special Considerations and Challenges
The Evolution of Programming in Financial Technology
Functional Programming in Enterprise Applications
Memory Management Techniques in Programming: From Garbage Collection to Manual Control
The Role of Open Source Programming in Accelerating Innovation
The Impact of Programming on Network Security and Cryptography
Developing Accessible Software: Programming for Users with Disabilities
Programming Language Theories: New Models and Approaches
The Challenges of Legacy Code: Strategies for Modernization and Integration
Energy-Efficient Programming: Optimizing Code for Green Computing
Multithreading and Concurrency: Advanced Programming Techniques
The Impact of Programming on Computational Biology and Bioinformatics
The Role of Scripting Languages in Automating System Administration
Programming and the Future of Quantum Resistant Cryptography
Code Review and Quality Assurance: Techniques and Tools
Adaptive and Predictive Programming for Dynamic Environments
The Role of Programming in Enhancing E-commerce Technology
Programming for Cyber-Physical Systems: Bridging the Gap Between Digital and Physical
The Influence of Programming Languages on Computational Efficiency and Performance
Quantum Algorithms: Development and Applications Beyond Shor’s and Grover’s Algorithms
The Role of Quantum Computing in Solving Complex Biological Problems
Quantum Cryptography: New Paradigms for Secure Communication
Error Correction Techniques in Quantum Computing
Quantum Computing and Its Impact on Artificial Intelligence
The Integration of Classical and Quantum Computing: Hybrid Models
Quantum Machine Learning: Theoretical Foundations and Practical Applications
Quantum Computing Hardware: Advances in Qubit Technology
The Application of Quantum Computing in Financial Modeling and Risk Assessment
Quantum Networking: Establishing Secure Quantum Communication Channels
The Future of Drug Discovery: Applications of Quantum Computing
Quantum Computing in Cryptanalysis: Threats to Current Cryptography Standards
Simulation of Quantum Systems for Material Science
Quantum Computing for Optimization Problems in Logistics and Manufacturing
Theoretical Limits of Quantum Computing: Understanding Quantum Complexity
Quantum Computing and the Future of Search Algorithms
The Role of Quantum Computing in Climate Science and Environmental Modeling
Quantum Annealing vs. Universal Quantum Computing: Comparative Studies
Implementing Quantum Algorithms in Quantum Programming Languages
The Impact of Quantum Computing on Public Key Cryptography
Quantum Entanglement: Experiments and Applications in Quantum Networks
Scalability Challenges in Quantum Processors
The Ethics and Policy Implications of Quantum Computing
Quantum Computing in Space Exploration and Astrophysics
The Role of Quantum Computing in Developing Next-Generation AI Systems
Quantum Computing in the Energy Sector: Applications in Smart Grids and Nuclear Fusion
Noise and Decoherence in Quantum Computers: Overcoming Practical Challenges
Quantum Computing for Predicting Economic Market Trends
Quantum Sensors: Enhancing Precision in Measurement and Imaging
The Future of Quantum Computing Education and Workforce Development
Quantum Computing in Cybersecurity: Preparing for a Post-Quantum World
Quantum Computing and the Internet of Things: Potential Intersections
Practical Quantum Computing: From Theory to Real-World Applications
Quantum Supremacy: Milestones and Future Goals
The Role of Quantum Computing in Genetics and Genomics
Quantum Computing for Material Discovery and Design
The Challenges of Quantum Programming Languages and Environments
Quantum Computing in Art and Creative Industries
The Global Race for Quantum Computing Supremacy: Technological and Political Aspects
Quantum Computing and Its Implications for Software Engineering
Advances in Humanoid Robotics: New Developments and Challenges
Robotics in Healthcare: From Surgery to Rehabilitation
The Integration of AI in Robotics: Enhanced Autonomy and Learning Capabilities
Swarm Robotics: Coordination Strategies and Applications
The Use of Robotics in Hazardous Environments: Deep Sea and Space Exploration
Soft Robotics: Materials, Design, and Applications
Robotics in Agriculture: Automation of Farming and Harvesting Processes
The Role of Robotics in Manufacturing: Increased Efficiency and Flexibility
Ethical Considerations in the Deployment of Robots in Human Environments
Autonomous Vehicles: Technological Advances and Regulatory Challenges
Robotic Assistants for the Elderly and Disabled: Improving Quality of Life
The Use of Robotics in Education: Teaching Science, Technology, Engineering, and Math (STEM)
Robotics and Computer Vision: Enhancing Perception and Decision Making
The Impact of Robotics on Employment and the Workforce
The Development of Robotic Systems for Environmental Monitoring and Conservation
Machine Learning Techniques for Robotic Perception and Navigation
Advances in Robotic Surgery: Precision and Outcomes
Human-Robot Interaction: Building Trust and Cooperation
Robotics in Retail: Automated Warehousing and Customer Service
Energy-Efficient Robots: Design and Utilization
Robotics in Construction: Automation and Safety Improvements
The Role of Robotics in Disaster Response and Recovery Operations
The Application of Robotics in Art and Creative Industries
Robotics and the Future of Personal Transportation
Ethical AI in Robotics: Ensuring Safe and Fair Decision-Making
The Use of Robotics in Logistics: Drones and Autonomous Delivery Vehicles
Robotics in the Food Industry: From Production to Service
The Integration of IoT with Robotics for Enhanced Connectivity
Wearable Robotics: Exoskeletons for Rehabilitation and Enhanced Mobility
The Impact of Robotics on Privacy and Security
Robotic Pet Companions: Social Robots and Their Psychological Effects
Robotics for Planetary Exploration and Colonization
Underwater Robotics: Innovations in Oceanography and Marine Biology
Advances in Robotics Programming Languages and Tools
The Role of Robotics in Minimizing Human Exposure to Contaminants and Pathogens
Collaborative Robots (Cobots): Working Alongside Humans in Shared Spaces
The Use of Robotics in Entertainment and Sports
Robotics and Machine Ethics: Programming Moral Decision-Making
The Future of Military Robotics: Opportunities and Challenges
Sustainable Robotics: Reducing the Environmental Impact of Robotic Systems
Agile Methodologies: Evolution and Future Trends
DevOps Practices: Improving Software Delivery and Lifecycle Management
The Impact of Microservices Architecture on Software Development
Containerization Technologies: Docker, Kubernetes, and Beyond
Software Quality Assurance: Modern Techniques and Tools
The Role of Artificial Intelligence in Automated Software Testing
Blockchain Applications in Software Development and Security
The Integration of Continuous Integration and Continuous Deployment (CI/CD) in Software Projects
Cybersecurity in Software Engineering: Best Practices for Secure Coding
Low-Code and No-Code Development: Implications for Professional Software Development
The Future of Software Engineering Education
Software Sustainability: Developing Green Software and Reducing Carbon Footprints
The Role of Software Engineering in Healthcare: Telemedicine and Patient Data Management
Privacy by Design: Incorporating Privacy Features at the Development Stage
The Impact of Quantum Computing on Software Engineering
Software Engineering for Augmented and Virtual Reality: Challenges and Innovations
Cloud-Native Applications: Design, Development, and Deployment
Software Project Management: Agile vs. Traditional Approaches
Open Source Software: Community Engagement and Project Sustainability
The Evolution of Graphical User Interfaces in Application Development
The Challenges of Integrating IoT Devices into Software Systems
Ethical Issues in Software Engineering: Bias, Accountability, and Regulation
Software Engineering for Autonomous Vehicles: Safety and Regulatory Considerations
Big Data Analytics in Software Development: Enhancing Decision-Making Processes
The Future of Mobile App Development: Trends and Technologies
The Role of Software Engineering in Artificial Intelligence: Frameworks and Algorithms
Performance Optimization in Software Applications
Adaptive Software Development: Responding to Changing User Needs
Software Engineering in Financial Services: Compliance and Security Challenges
User Experience (UX) Design in Software Engineering
The Role of Software Engineering in Smart Cities: Infrastructure and Services
The Impact of 5G on Software Development and Deployment
Real-Time Systems in Software Engineering: Design and Implementation Challenges
Cross-Platform Development Challenges: Ensuring Consistency and Performance
Software Testing Automation: Tools and Trends
The Integration of Cyber-Physical Systems in Software Engineering
Software Engineering in the Entertainment Industry: Game Development and Beyond
The Application of Machine Learning in Predicting Software Bugs
The Role of Software Engineering in Cybersecurity Defense Strategies
Accessibility in Software Engineering: Creating Inclusive and Usable Software
Progressive Web Apps (PWAs): Advantages and Implementation Challenges
The Future of Web Accessibility: Standards and Practices
Single-Page Applications (SPAs) vs. Multi-Page Applications (MPAs): Performance and Usability
The Impact of Serverless Computing on Web Development
The Evolution of CSS for Modern Web Design
Security Best Practices in Web Development: Defending Against XSS and CSRF Attacks
The Role of Web Development in Enhancing E-commerce User Experience
The Use of Artificial Intelligence in Web Personalization and User Engagement
The Future of Web APIs: Standards, Security, and Scalability
Responsive Web Design: Techniques and Trends
JavaScript Frameworks: Vue.js, React.js, and Angular – A Comparative Analysis
Web Development for IoT: Interfaces and Connectivity Solutions
The Impact of 5G on Web Development and User Experiences
The Use of Blockchain Technology in Web Development for Enhanced Security
Web Development in the Cloud: Using AWS, Azure, and Google Cloud
Content Management Systems (CMS): Trends and Future Developments
The Application of Web Development in Virtual and Augmented Reality
The Importance of Web Performance Optimization: Tools and Techniques
Sustainable Web Design: Practices for Reducing Energy Consumption
The Role of Web Development in Digital Marketing: SEO and Social Media Integration
Headless CMS: Benefits and Challenges for Developers and Content Creators
The Future of Web Typography: Design, Accessibility, and Performance
Web Development and Data Protection: Complying with GDPR and Other Regulations
Real-Time Web Communication: Technologies like WebSockets and WebRTC
Front-End Development Tools: Efficiency and Innovation in Workflow
The Challenges of Migrating Legacy Systems to Modern Web Architectures
Microfrontends Architecture: Designing Scalable and Decoupled Web Applications
The Impact of Cryptocurrencies on Web Payment Systems
User-Centered Design in Web Development: Methods for Engaging Users
The Role of Web Development in Business Intelligence: Dashboards and Reporting Tools
Web Development for Mobile Platforms: Optimization and Best Practices
The Evolution of E-commerce Platforms: From Web to Mobile Commerce
Web Security in E-commerce: Protecting Transactions and User Data
Dynamic Web Content: Server-Side vs. Client-Side Rendering
The Future of Full Stack Development: Trends and Skills
Web Design Psychology: How Design Influences User Behavior
The Role of Web Development in the Non-Profit Sector: Fundraising and Community Engagement
The Integration of AI Chatbots in Web Development
The Use of Motion UI in Web Design: Enhancing Aesthetics and User Interaction
The Future of Web Development: Predictions and Emerging Technologies

We trust that this comprehensive list of computer science thesis topics will serve as a valuable starting point for your research endeavors. With 1000 unique and carefully selected topics distributed across 25 key areas of computer science, students are equipped to tackle complex questions and contribute meaningful advancements to the field. As you proceed to select your thesis topic, consider not only your personal interests and career goals but also the potential impact of your research. We encourage you to explore these topics thoroughly and choose one that will not only challenge you but also push the boundaries of technology and innovation.

The Range of Computer Science Thesis Topics

Computer science stands as a dynamic and ever-evolving field that continuously reshapes how we interact with the world. At its core, the discipline encompasses not just the study of algorithms and computation, but a broad spectrum of practical and theoretical knowledge areas that drive innovation in various sectors. This article aims to explore the rich landscape of computer science thesis topics, offering students and researchers a glimpse into the potential areas of study that not only challenge the intellect but also contribute significantly to technological progress. As we delve into the current issues, recent trends, and future directions of computer science, it becomes evident that the possibilities for research are both vast and diverse. Whether you are intrigued by the complexities of artificial intelligence, the robust architecture of networks and systems, or the innovative approaches in cybersecurity, computer science offers a fertile ground for developing thesis topics that are as impactful as they are intellectually stimulating.

Current Issues in Computer Science

One of the prominent current issues in computer science revolves around data security and privacy. As digital transformation accelerates across industries, the massive influx of data generated poses significant challenges in terms of its protection and ethical use. Cybersecurity threats have become more sophisticated, with data breaches and cyber-attacks causing major concerns for organizations worldwide. This ongoing battle demands continuous improvements in security protocols and the development of robust cybersecurity measures. Computer science thesis topics in this area can explore new cryptographic methods, intrusion detection systems, and secure communication protocols to fortify digital defenses. Research could also delve into the ethical implications of data collection and use, proposing frameworks that ensure privacy while still leveraging data for innovation.

Another critical issue facing the field of computer science is the ethical development and deployment of artificial intelligence (AI) systems. As AI technologies become more integrated into daily life and critical infrastructure, concerns about bias, fairness, and accountability in AI systems have intensified. Thesis topics could focus on developing algorithms that address these ethical concerns, including techniques for reducing bias in machine learning models and methods for increasing transparency and explainability in AI decisions. This research is crucial for ensuring that AI technologies promote fairness and do not perpetuate or exacerbate existing societal inequalities.

Furthermore, the rapid pace of technological change presents a challenge in terms of sustainability and environmental impact. The energy consumption of large data centers, the carbon footprint of producing and disposing of electronic waste, and the broader effects of high-tech innovations on the environment are significant concerns within computer science. Thesis research in this domain could focus on creating more energy-efficient computing methods, developing algorithms that reduce power consumption, or innovating recycling technologies that address the issue of e-waste. This research not only contributes to the field of computer science but also plays a crucial role in ensuring that technological advancement does not come at an unsustainable cost to the environment.

These current issues highlight the dynamic nature of computer science and its direct impact on society. Addressing these challenges through focused research and innovative thesis topics not only advances the field but also contributes to resolving some of the most pressing problems facing our global community today.

Recent Trends in Computer Science

In recent years, computer science has witnessed significant advancements in the integration of artificial intelligence (AI) and machine learning (ML) across various sectors, marking one of the most exciting trends in the field. These technologies are not just reshaping traditional industries but are also at the forefront of driving innovations in areas like healthcare, finance, and autonomous systems. Thesis topics within this trend could explore the development of advanced ML algorithms that enhance predictive analytics, improve automated decision-making, or refine natural language processing capabilities. Additionally, AI’s role in ethical decision-making and its societal impacts offers a rich vein of inquiry for research, focusing on mitigating biases and ensuring that AI systems operate transparently and justly.

Another prominent trend in computer science is the rapid growth of blockchain technology beyond its initial application in cryptocurrencies. Blockchain is proving its potential in creating more secure, decentralized, and transparent networks for a variety of applications, from enhancing supply chain logistics to revolutionizing digital identity verification processes. Computer science thesis topics could investigate novel uses of blockchain for ensuring data integrity in digital transactions, enhancing cybersecurity measures, or even developing new frameworks for blockchain integration into existing technological infrastructures. The exploration of blockchain’s scalability, speed, and energy consumption also presents critical research opportunities that are timely and relevant.

Furthermore, the expansion of the Internet of Things (IoT) continues to be a significant trend, with more devices becoming connected every day, leading to increasingly smart environments. This proliferation poses unique challenges and opportunities for computer science research, particularly in terms of scalability, security, and new data management strategies. Thesis topics might focus on optimizing network protocols to handle the massive influx of data from IoT devices, developing solutions to safeguard against IoT-specific security vulnerabilities, or innovative applications of IoT in urban planning, smart homes, or healthcare. Research in this area is crucial for advancing the efficiency and functionality of IoT systems and for ensuring they can be safely and effectively integrated into modern life.

These recent trends underscore the vibrant and ever-evolving nature of computer science, reflecting its capacity to influence and transform an array of sectors through technological innovation. The continual emergence of new research topics within these trends not only enriches the academic discipline but also provides substantial benefits to society by addressing practical challenges and enhancing the capabilities of technology in everyday life.

Future Directions in Computer Science

As we look toward the future, one of the most anticipated areas in computer science is the advancement of quantum computing. This emerging technology promises to revolutionize problem-solving in fields that require immense computational power, such as cryptography, drug discovery, and complex system modeling. Quantum computing has the potential to process tasks at speeds unachievable by classical computers, offering breakthroughs in materials science and encryption methods. Computer science thesis topics might explore the theoretical underpinnings of quantum algorithms, the development of quantum-resistant cryptographic systems, or practical applications of quantum computing in industry-specific scenarios. Research in this area not only contributes to the foundational knowledge of quantum mechanics but also paves the way for its integration into mainstream computing, marking a significant leap forward in computational capabilities.

Another promising direction in computer science is the advancement of autonomous systems, particularly in robotics and vehicle automation. The future of autonomous technologies hinges on improving their safety, reliability, and decision-making processes under uncertain conditions. Thesis topics could focus on the enhancement of machine perception through computer vision and sensor fusion, the development of more sophisticated AI-driven decision frameworks, or ethical considerations in the deployment of autonomous systems. As these technologies become increasingly prevalent, research will play a crucial role in addressing the societal and technical challenges they present, ensuring their beneficial integration into daily life and industry operations.

Additionally, the ongoing expansion of artificial intelligence applications poses significant future directions for research, especially in the realm of AI ethics and policy. As AI systems become more capable and widespread, their impact on privacy, employment, and societal norms continues to grow. Future thesis topics might delve into the development of guidelines and frameworks for responsible AI, studies on the impact of AI on workforce dynamics, or innovations in transparent and fair AI systems. This research is vital for guiding the ethical evolution of AI technologies, ensuring they enhance societal well-being without diminishing human dignity or autonomy.

These future directions in computer science not only highlight the field’s potential for substantial technological advancements but also underscore the importance of thoughtful consideration of their broader implications. By exploring these areas in depth, computer science research can lead the way in not just technological innovation, but also in shaping a future where technology and ethics coexist harmoniously for the betterment of society.

In conclusion, the field of computer science is not only foundational to the technological advancements that characterize the modern age but also crucial in solving some of the most pressing challenges of our time. The potential thesis topics discussed in this article reflect a mere fraction of the opportunities that lie in the realms of theory, application, and innovation within this expansive field. As emerging technologies such as quantum computing, artificial intelligence, and blockchain continue to evolve, they open new avenues for research that could potentially redefine existing paradigms. For students embarking on their thesis journey, it is essential to choose a topic that not only aligns with their academic passions but also contributes to the ongoing expansion of computer science knowledge. By pushing the boundaries of what is known and exploring uncharted territories, students can leave a lasting impact on the field and pave the way for future technological breakthroughs. As we look forward, it’s clear that computer science will continue to be a key driver of change, making it an exciting and rewarding area for academic and professional growth.

Thesis Writing Services by iResearchNet

At iResearchNet, we specialize in providing exceptional thesis writing services tailored to meet the diverse needs of students, particularly those pursuing advanced topics in computer science. Understanding the pivotal role a thesis plays in a student’s academic career, we offer a suite of services designed to assist students in crafting papers that are not only well-researched and insightful but also perfectly aligned with their academic objectives. Here are the key features of our thesis writing services:

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At iResearchNet, we are dedicated to supporting students by providing them with high-quality, reliable, and professional thesis writing services. By choosing us, students can be confident that they are receiving expert help that not only meets but exceeds their expectations. Whether you are tackling complex topics in computer science or any other academic discipline, our team is here to help you achieve academic success.

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Student remembers her teacher who died in Georgia school shooting as ‘a really kind-hearted man’

Two students and two teachers were killed in a school shooting at a Georgia high school on Wednesday, and nine others were injured, authorities said.

A 14-year-old student was taken into custody after the shooting at Apalachee High School, about an hour northeast of Atlanta, Georgia Bureau of Investigation Director Chris Hosey said during a press conference on Wednesday.

The suspect, identified as Colt Gray , surrendered to authorities when he was confronted, Hosey said. Gray used an "AR-platform style weapon" and would be charged with murder as an adult, Hosey said.

Gray was cooperating with investigators, Hosey said. The suspect was previously investigated last year, when he was 13, in connection with threats to carry out a school shooting, the FBI’s Atlanta field office and the Jackson County Sheriff’s Office said in a joint statement on Wednesday.

The four victims of the shooting were identified as Mason Schermerhorn, 14, Christian Angulo, 14, Richard Aspinwall, 39, and Christina Irimie, 53.

Ariel Bowling, a 15-year-old student at Apalachee High School, said Aspinwall, her math teacher, had the "most kindest soul ever."

"I would just want people to know that he was a really kind-hearted man, and he would, really push you and he was just really hard working," Bowling said on TODAY on Thursday. "And he just had the most kindest soul ever."

Eight other students and one other teacher were injured in the shooting. All were expected to survive, Hosey said.

Here's what we know about each of the four victims who were killed on Wednesday.

Mason Schermerhorn

Mason Schermerhorn, 14, was one of the two students killed in the shooting on Wednesday.

Lilianah Ahmed, who identified herself as Mason's sister, wrote in an Instagram post that her brother "did not make it out of the school alive."

In a since-deleted post searching for the whereabouts of her brother, Ahmed wrote that Mason had autism. TODAY.com has not independently confirmed that detail.

Christian Angulo

Christian Angulo, 14, was also a student at Apalachee High School.

Lisette Angulo, his older sister, set up a GoFundMe to help with his funeral expenses "due to his loss being so sudden."

"Unfortunately my baby brother was one of the victims of the school shooting at Apalachee High School. He was only 14 years old. He was a very good kid and very sweet and so caring," she wrote in the GoFundMe description.

"He was so loved by many. His loss was so sudden and unexpected," she continued. "We are truly heartbroken. He really didn’t deserve this."

Richard Aspinwall

Richard Aspinwall, 39, was a math teacher and football coach at Apalachee High School.

According to his Facebook profile, he appeared to be married and had a young daughter.

Bowling, one of Aspinwall's students, described what she thought about when she woke up the day after the shooting.

"I just feel like you're basically never safe anywhere," Bowling said. "And no matter if there's like cops in the school — there's still no safety at all."

Christina Irimie

Christina Irimie, 53, was also a math teacher at Apalachee High School.

Barrow County Sheriff Jud Smith became emotional while speaking about the victims at a press conference.

"I never imagined that I would be speaking to the media in my career over something that happened today, the pure evil that happened today," he said, tearing up. "My heart hurts for these kids. My heart hurts for our community ... but I want to make it very clear that hate will not prevail."

Anna Kaplan is a news and trending reporter for TODAY.com.

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Graduate Thesis, Dissertation, and Capstone Project for SY 2024-2025 for GBSEALD, SOH, JGSOM, SOSE & SOSS

05 Sep 2024 | Office of the Assistant Vice President for Graduate Education

TO	Deans, Department Chairs/Program Directors, Graduate Program Coordinators, Faculty, and Graduate Students of GBSEALD, SOH, JGSOM, SOSE, and SOSS
FROM	(Sgd) Anne Lan K. Candelaria, PhD Assistant Vice President for Graduate Education
SUBJECT	Graduate Thesis, Dissertation, and Capstone Project for SY 2024-2025

In the past six years, the Graduate Programs Committee and Office of the Assistant Vice President for Graduate Education in partnership with graduate students, various offices, schools, departments, and programs, have worked hard to improve our graduate research ecosystem. We have updated some of our policies and procedures based on research, benchmarking, reviews, and feedback from everyone involved.

May I direct your attention to the following changes that will be implemented beginning SY 2024-2025:

A. TDCP I Enrollment

To allow graduate students to be formally part of the adviser's writing group or research laboratory and to facilitate early preparation for publications, the School Council approved the following policy last 24 May 2024:

1. Students are eligible to enroll in Thesis I/ Dissertation I/Capstone Project (TDCP 1) after completion of all coursework, Practicum/ Internship, and Comprehensive Exams.

2. Students are permitted to enroll in a colloquium or seminar course (cat. No. 290-291/ 390-391) whose outcomes are the production of parts of the TDCP concurrently with TDCP I provided that these courses were indicated in the approved curriculum.

B. Grading Rubric for Master's Thesis

1. To enhance the evaluation process for the thesis, the School Council approved the new thesis grading rubric last 24 May 2024. This tool is designed to be easy-to-use, robust, and customizable, ensuring it aligns with our high standards for academic excellence. By implementing this rubric, we aim to provide a consistent and comprehensive assessment framework that supports both students and faculty in achieving their research goals.

2. As approved, the revised weight for written work is 80% while oral defense is 20%. Please take note too that the criteria for written work and oral presentation have been revised (see table below).

Criteria	*Weights (%)
Written Work	80%
Definition of research scope and goals
Depth of knowledge of the topic
Method/s and quality of argumentation
Thesis organization and language
Contribution to knowledge
Oral Presentation & Defense	20%
Quality of thesis presentation
Ability to answer questions and defend ideas
Final Grade for Thesis	100%

3. The School Council also approved the minimum standard in evaluating a master’s thesis. Kindly refer to the Criteria, levels of performance, and descriptors for grading the thesis WRITTEN work and ORAL presentation & defense for the complete descriptions. The percentage for each sub-criterion for Written Work and Oral Defense shall be determined per School . Furthermore, the schools may decide to elaborate further and/or set a higher standard than the minimum required. Deans are therefore requested to submit the percentages to be used by their respective schools to the Office of the Assistant Vice President for Graduate Education and Office of the University Registrar for implementation on or before 26 September 2024 . A sample computation is provided here for your reference.

NOTE: The Grading Rubrics for Dissertations and Capstone Projects are next to be drafted for proposal to the school body.'

C. New and Revised TDCP-Related Forms

All students are expected to submit original work for their Theses, Dissertations, or Capstone Projects. The work must be written in its entirety by the student, with proper and accurate referencing for any borrowed content. Students must ensure their submissions do not contain copied, paraphrased, translated, or summarized content from any other sources, including their previous works. To ensure that all research and writing must adhere to the highest standards of academic integrity, ethical conduct, and copyright laws, students will be required to submit the following forms beginning SY 2024-2025:

1. Declaration of Originality of TDCP - Single Authorship (new)

2. Declaration of Originality of Capstone Project - Group Authorship (new)

3. RL License and Declaration for Graduate Thesis, Dissertation, and Capstone Project (revised)

The forms have been developed and reviewed together with the University Legal and Compliance Office, Office of the Assistant Vice President for Research, Creative Work, and Innovation, Ateneo Intellectual Property Office, and Rizal Library. These are aligned with relevant policies of Ateneo de Manila University, such as the Ateneo Intellectual Property Policy , Academic Integrity Policy , Research Ethics Policy , and the Thesis, Dissertation, and Capstone Project Guidelines for Graduate Students.

D. TDCP Deadlines

As indicated in the Academic Calendar for SY 2024-2025 , we would like to reiterate the following deadlines:

Semester

Grade Submission to OAVPGE

Dean’s Approval of the revised TDCP and other requirements

First Semester

9 November 2024

7 December 2024

Second Semester*

2 April 2025

(attending Batch 2025 graduation ceremony)

3 May 2025

(will not join the Batch graduation ceremony)

30 April 2025

(attending Batch 2025 graduation ceremony)

24 May 2025

(will not join the Batch 2025 graduation ceremony)

*Commencement Ceremonies for SY 2024-2025 are scheduled on 23-25 May 2025.

Schools and departments may set an earlier deadline for the oral defense and TDCP submission if deemed necessary.

These policies are also found in the 2024 Edition of the Graduate Student Handbook (GSH) and the revised TDCP Guidelines:

- For the Departments/Programs and Deans

- For Faculty Advisers, Panel Members, and Style Readers

- For Graduate Students

As always, we are extremely grateful for your patience and continued cooperation. We hope you do not mind if we ask for your assistance in disseminating this memo to your faculty advisers, panel members, style readers, and graduate students.

Please be guided accordingly. Thank you.

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Modal title

Schools struggling to find solutions to chronic absenteeism problem

by CORY SMITH | The National Desk

FILE - A 6th-grade student walks down a stairwell. (Photo by Sean Gallup/Getty Images)

(TND) — Schools are having limited success in reducing chronic absenteeism, according to a new RAND report .

And more students are missing school than they were before the pandemic.

School leaders seem to believe that the pandemic shifted perspectives to the detriment of students.

“Yeah, it seems like parents are viewing school as more optional,” Heather Schwartz, an education policy expert and researcher at RAND, said Tuesday of the feedback she’s heard from school district leaders.

RAND’s report, released last week and based on a survey and interviews conducted late last school year, determined that 19% of students were chronically absent.

That’s down from the peak of 28% during the 2021-22 school year but remains elevated from the 13% and 15% absenteeism rates from 2016 to 2019.

And about 10% of districts had 30% or more of their students chronically absent last school year.

Chronic absenteeism is defined as a student missing at least 10% of their school days. A typical school year is 180 days, so a chronically absent student would be out of class for at least 18 days.

The American Federation of Teachers says chronic absenteeism predicts both low academic success and potentially which students may eventually drop out of school.

RAND found a quarter of districts didn’t find their approaches to reducing chronic absenteeism particularly effective.

Common approaches have been the adoption of an early warning system to flag students who are at risk of being chronically absent, home visits, having teachers call students’ homes when they miss school, and hiring staff focused on reducing absenteeism.

“It was disheartening to see the lack of any clear approach, any clear winner among the approaches,” Schwartz said.

Why are more students missing school?

There were common themes RAND heard from district leaders.

Some families, it seems, might be more apathetic towards school since the pandemic.

Some parents seem to have more zealous concerns about sending their children to school when they have minor illnesses, like colds.

There seems to be a growing sense among parents that doing class assignments online is a “good enough” replacement for attending school in person.

And then there’s an increased desire to ease anxiety or mental health concerns children might have about going to school.

“I would say those are the four buckets we hear,” Schwartz said.

Those sentiments seem to be more prevalent now than they were before the pandemic.

“To be fair, we didn't ask them (to) look in the crystal ball and be like, ‘Do you think this is forever?’ So, I don't know if they see it as like a receding tide that's still hanging around, or if it's ... the new normal,” Schwartz said of their survey of school leaders.

How can we fix this?

Schwartz said it’s clear there’s no one-size-fits-all solution to chronic absenteeism.

The same approach in two different places is going to yield different results, she said.

“The culture of a community, the size of the district, the types of students they serve, the needs of the family, the availability of transportation, on and on, are all highly dependent on the local context,” Schwartz said.

Beyond that, she said schools need to tailor their messages to the needs and challenges of different families.

A student who misses a lot of class time in one concentrated chunk is different than a student who misses a lot of days sprinkled throughout the school year.

A student who is missing time and struggling to keep up is different from a student who is missing time but managing to stay on track.

Schwartz said schools need to invest in testing different messages for different student populations.

“The problem is important enough that it's worth investing to find a solution,” she said. “Solutions, plural, because there isn't going to be just any one solution.”

And any approach needs to include “carrots, not just sticks,” she said.

Schools can’t just send truancy officers to homes and solve chronic absenteeism, she said.

“To fundamentally fix this issue, I don't think you can merely hang a bunch of threats over families. ... Make school compelling enough that kids actually feel that they in some sense want to come,” Schwartz said.

And relationship-building is key to making students want to go to school, she said.

“There is an adult who knows you, who notices when you're not there, cares about you, and who wants to see you there at school,” Schwartz said.

The University of Chicago The Law School

Innovation clinic—significant achievements for 2023-24.

The Innovation Clinic continued its track record of success during the 2023-2024 school year, facing unprecedented demand for our pro bono services as our reputation for providing high caliber transactional and regulatory representation spread. The overwhelming number of assistance requests we received from the University of Chicago, City of Chicago, and even national startup and venture capital communities enabled our students to cherry-pick the most interesting, pedagogically valuable assignments offered to them. Our focus on serving startups, rather than all small- to medium-sized businesses, and our specialization in the needs and considerations that these companies have, which differ substantially from the needs of more traditional small businesses, has proven to be a strong differentiator for the program both in terms of business development and prospective and current student interest, as has our further focus on tackling idiosyncratic, complex regulatory challenges for first-of-their kind startups. We are also beginning to enjoy more long-term relationships with clients who repeatedly engage us for multiple projects over the course of a year or more as their legal needs develop.

This year’s twelve students completed over twenty projects and represented clients in a very broad range of industries: mental health and wellbeing, content creation, medical education, biotech and drug discovery, chemistry, food and beverage, art, personal finance, renewable energy, fintech, consumer products and services, artificial intelligence (“AI”), and others. The matters that the students handled gave them an unparalleled view into the emerging companies and venture capital space, at a level of complexity and agency that most junior lawyers will not experience until several years into their careers.

Representative Engagements

While the Innovation Clinic’s engagements are highly confidential and cannot be described in detail, a high-level description of a representative sample of projects undertaken by the Innovation Clinic this year includes:

Transactional/Commercial Work

A previous client developing a symptom-tracking wellness app for chronic disease sufferers engaged the Innovation Clinic again, this time to restructure its cap table by moving one founder’s interest in the company to a foreign holding company and subjecting the holding company to appropriate protections in favor of the startup.
Another client with whom the Innovation Clinic had already worked several times engaged us for several new projects, including (1) restructuring their cap table and issuing equity to an additional, new founder, (2) drafting several different forms of license agreements that the company could use when generating content for the platform, covering situations in which the company would license existing content from other providers, jointly develop new content together with contractors or specialists that would then be jointly owned by all creators, or commission contractors to make content solely owned by the company, (3) drafting simple agreements for future equity (“Safes”) for the company to use in its seed stage fundraising round, and (4) drafting terms of service and a privacy policy for the platform.
Yet another repeat client, an internet platform that supports independent artists by creating short films featuring the artists to promote their work and facilitates sales of the artists’ art through its platform, retained us this year to draft a form of independent contractor agreement that could be used when the company hires artists to be featured in content that the company’s Fortune 500 brand partners commission from the company, and to create capsule art collections that could be sold by these Fortune 500 brand partners in conjunction with the content promotion.
We worked with a platform using AI to accelerate the Investigational New Drug (IND) approval and application process to draft a form of license agreement for use with its customers and an NDA for prospective investors.
A novel personal finance platform for young, high-earning individuals engaged the Innovation Clinic to form an entity for the platform, including helping the founders to negotiate a deal among them with respect to roles and equity, terms that the equity would be subject to, and other post-incorporation matters, as well as to draft terms of service and a privacy policy for the platform.
Students also formed an entity for a biotech therapeutics company founded by University of Chicago faculty members and an AI-powered legal billing management platform founded by University of Chicago students.
A founder the Innovation Clinic had represented in connection with one venture engaged us on behalf of his other venture team to draft an equity incentive plan for the company as well as other required implementing documentation. His venture with which we previously worked also engaged us this year to draft Safes to be used with over twenty investors in a seed financing round.

More information regarding other types of transactional projects that we typically take on can be found here .

Regulatory Research and Advice

A team of Innovation Clinic students invested a substantial portion of our regulatory time this year performing highly detailed and complicated research into public utilities laws of several states to advise a groundbreaking renewable energy technology company as to how its product might be regulated in these states and its clearest path to market. This project involved a review of not only the relevant state statutes but also an analysis of the interplay between state and federal statutes as it relates to public utilities law, the administrative codes of the relevant state executive branch agencies, and binding and non-binding administrative orders, decisions and guidance from such agencies in other contexts that could shed light on how such states would regulate this never-before-seen product that their laws clearly never contemplated could exist. The highly varied approach to utilities regulation in all states examined led to a nuanced set of analysis and recommendations for the client.
In another significant research project, a separate team of Innovation Clinic students undertook a comprehensive review of all settlement orders and court decisions related to actions brought by the Consumer Financial Protection Bureau for violations of the prohibition on unfair, deceptive, or abusive acts and practices under the Consumer Financial Protection Act, as well as selected relevant settlement orders, court decisions, and other formal and informal guidance documents related to actions brought by the Federal Trade Commission for violations of the prohibition on unfair or deceptive acts or practices under Section 5 of the Federal Trade Commission Act, to assemble a playbook for a fintech company regarding compliance. This playbook, which distilled very complicated, voluminous legal decisions and concepts into a series of bullet points with clear, easy-to-follow rules and best practices, designed to be distributed to non-lawyers in many different facets of this business, covered all aspects of operations that could subject a company like this one to liability under the laws examined, including with respect to asset purchase transactions, marketing and consumer onboarding, usage of certain terms of art in advertising, disclosure requirements, fee structures, communications with customers, legal documentation requirements, customer service and support, debt collection practices, arrangements with third parties who act on the company’s behalf, and more.

Miscellaneous

Last year’s students built upon the Innovation Clinic’s progress in shaping the rules promulgated by the Financial Crimes Enforcement Network (“FinCEN”) pursuant to the Corporate Transparency Act to create a client alert summarizing the final rule, its impact on startups, and what startups need to know in order to comply. When FinCEN issued additional guidance with respect to that final rule and changed portions of the final rule including timelines for compliance, this year’s students updated the alert, then distributed it to current and former clients to notify them of the need to comply. The final bulletin is available here .
In furtherance of that work, additional Innovation Clinic students this year analyzed the impact of the final rule not just on the Innovation Clinic’s clients but also its impact on the Innovation Clinic, and how the Innovation Clinic should change its practices to ensure compliance and minimize risk to the Innovation Clinic. This also involved putting together a comprehensive filing guide for companies that are ready to file their certificates of incorporation to show them procedurally how to do so and explain the choices they must make during the filing process, so that the Innovation Clinic would not be involved in directing or controlling the filings and thus would not be considered a “company applicant” on any client’s Corporate Transparency Act filings with FinCEN.
The Innovation Clinic also began producing thought leadership pieces regarding AI, leveraging our distinct and uniquely University of Chicago expertise in structuring early-stage companies and analyzing complex regulatory issues with a law and economics lens to add our voice to those speaking on this important topic. One student wrote about whether non-profits are really the most desirable form of entity for mitigating risks associated with AI development, and another team of students prepared an analysis of the EU’s AI Act, comparing it to the Executive Order on AI from President Biden, and recommended a path forward for an AI regulatory environment in the United States. Both pieces can be found here , with more to come!

Innovation Trek

Thanks to another generous gift from Douglas Clark, ’89, and managing partner of Wilson, Sonsini, Goodrich & Rosati, we were able to operationalize the second Innovation Trek over Spring Break 2024. The Innovation Trek provides University of Chicago Law School students with a rare opportunity to explore the innovation and venture capital ecosystem in its epicenter, Silicon Valley. The program enables participating students to learn from business and legal experts in a variety of different industries and roles within the ecosystem to see how the law and economics principles that students learn about in the classroom play out in the real world, and facilitates meaningful connections between alumni, students, and other speakers who are leaders in their fields. This year, we took twenty-three students (as opposed to twelve during the first Trek) and expanded the offering to include not just Innovation Clinic students but also interested students from our JD/MBA Program and Doctoroff Business Leadership Program. We also enjoyed four jam-packed days in Silicon Valley, expanding the trip from the two and a half days that we spent in the Bay Area during our 2022 Trek.

The substantive sessions of the Trek were varied and impactful, and enabled in no small part thanks to substantial contributions from numerous alumni of the Law School. Students were fortunate to visit Coinbase’s Mountain View headquarters to learn from legal leaders at the company on all things Coinbase, crypto, and in-house, Plug & Play Tech Center’s Sunnyvale location to learn more about its investment thesis and accelerator programming, and Google’s Moonshot Factory, X, where we heard from lawyers at a number of different Alphabet companies about their lives as in-house counsel and the varied roles that in-house lawyers can have. We were also hosted by Wilson, Sonsini, Goodrich & Rosati and Fenwick & West LLP where we held sessions featuring lawyers from those firms, alumni from within and outside of those firms, and non-lawyer industry experts on topics such as artificial intelligence, climate tech and renewables, intellectual property, biotech, investing in Silicon Valley, and growth stage companies, and general advice on career trajectories and strategies. We further held a young alumni roundtable, where our students got to speak with alumni who graduated in the past five years for intimate, candid discussions about life as junior associates. In total, our students heard from more than forty speakers, including over twenty University of Chicago alumni from various divisions.

The Trek didn’t stop with education, though. Throughout the week students also had the opportunity to network with speakers to learn more from them outside the confines of panel presentations and to grow their networks. We had a networking dinner with Kirkland & Ellis, a closing dinner with all Trek participants, and for the first time hosted an event for admitted students, Trek participants, and alumni to come together to share experiences and recruit the next generation of Law School students. Several speakers and students stayed in touch following the Trek, and this resulted not just in meaningful relationships but also in employment for some students who attended.

More information on the purposes of the Trek is available here , the full itinerary is available here , and one student participant’s story describing her reflections on and descriptions of her experience on the Trek is available here .

The Innovation Clinic is grateful to all of its clients for continuing to provide its students with challenging, high-quality legal work, and to the many alumni who engage with us for providing an irreplaceable client pipeline and for sharing their time and energy with our students. Our clients are breaking the mold and bringing innovations to market that will improve the lives of people around the world in numerous ways. We are glad to aid in their success in any way that we can. We look forward to another productive year in 2024-2025!

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(DOC) the analysis of students problems on writing thesis
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Students' Problem in Writing Undergraduate Thesis
Research Problem Statement Write three research
Sample Statement Of The Problem In Thesis Proposal Example

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Problems Faced By Students during online education
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Postgraduate students' difficulties in writing their theses literature
Another problem was that most students (70%) pointed to writing the related literature reviews without focusing on having different ideas about the inclusion of the high-quality articles in their review. A few of them (20%) mentioned that using the high quality and update articles seem essential in writing.
PDF Students' Challenges on Writing Undergraduate Thesis in the College of
discuss the problems of writing an undergraduate thesis and provide plans to overcome these challenges. The researchers looked into the challenges that students faced when writing an undergraduate thesis. 117 students were selected from the total student population of 150 students enrolled in Research for the academic year 2021-2022,
How to Define a Research Problem
How to Define a Research Problem | Ideas & Examples. Published on November 2, 2022 by Shona McCombes and Tegan George. Revised on May 31, 2023. A research problem is a specific issue or gap in existing knowledge that you aim to address in your research. You may choose to look for practical problems aimed at contributing to change, or theoretical problems aimed at expanding knowledge.
Challenges Faced by Students in Writing Thesis: An ...
Results: The problems in general identified were lack of students' knowledge, experience, commitment in thesis works, time constraint, excess workload, lack of fund, inadequate and irregular ...
How to Write a Thesis Statement
Step 2: Write your initial answer. After some initial research, you can formulate a tentative answer to this question. At this stage it can be simple, and it should guide the research process and writing process. The internet has had more of a positive than a negative effect on education.
Thesis
Thesis. Your thesis is the central claim in your essay—your main insight or idea about your source or topic. Your thesis should appear early in an academic essay, followed by a logically constructed argument that supports this central claim. A strong thesis is arguable, which means a thoughtful reader could disagree with it and therefore ...
Students' Problems of Academic Writing Competencies, Challenges in
This study revealed students' problems of academic writing competencies covering the dimensions of thesis elements and writing performances. Subsequently, multiple challenges were unraveled ...
Challenges Faced by Students in Writing Thesis: An Investigation from
Statement of the Problem Research students have to write thesis for the completion of their degree. Thesis writing requires research skills and knowledge to conduct research successfully. It is essential to investigate the problems and challenges faced by research students in writing thesis.
STUDENTS' PROBLEMS IN WRITING THEIR THESIS PROPOSALS
This is a descriptive research that looked into the problems or difficulties met by college students in writing their thesis proposal. It specifically gathered data on the overall acceptance rate ...
Academic Guides: Writing a Paper: Thesis Statements
The thesis statement is the brief articulation of your paper's central argument and purpose. You might hear it referred to as simply a "thesis." ... In order to address issues of conflict between students, I argue that Kennedy High School should embrace policies outlined by the California Department of Education (2010).
PDF Factors Affecting Students' Difficulties in Writing Thesis
writing thesis and the interview was used to find the factors that affect students' difficulties in writing thesis. The data showed significant finding (1) there are 82% or 40 students have difficulties in personality factors. (2) There are 83% or 41 students have difficulties in sociocultural factors. (3) There are 86% or 42 students have ...
A qualitative study of mental health experiences and college student
student identity. The purposes of this study is to: (1) address a gap in extant literature on mental. health as an aspect of college identity from students' own voice, (2) add to literature that. challenges approaches to studying mental health that treat it as reified, static psychological.
Thesis
The student must evaluate existing literature and identify gaps in the field, as well as develop and defend their own ideas. To Provide Evidence of Competence: A thesis provides evidence of the student's competence in their field of study. It demonstrates their ability to apply theoretical concepts to real-world problems, and their ability to ...
An Analysis of Students' Problems in Writing a Research Proposal
The focus factor on sociocultural factors that will be arisen in this study of the problems in writing a thesis is bold in three aspects, such as (1) the social distance among each undergraduate student and the relationship between an undergraduate student and their lecturer; (2) the culture in the language classroom of the undergraduate ...
How to Write a Problem Statement
Step 3: Set your aims and objectives. Finally, the problem statement should frame how you intend to address the problem. Your goal here should not be to find a conclusive solution, but rather to propose more effective approaches to tackling or understanding it. The research aim is the overall purpose of your research.
PDF College Student Mental Health: Current Issues, Challenges
Today's students are "digital natives," and it would be a natural progression for them to receive mental health support via technology-based channels (Palmer, 2015). This dissertation reviews current students' mental health issues and the challenges and feasibility of incorporating technology-based mental health interventions on campus.
Problems and Strategies in Developing Writing Undergraduate Thesis: A
Thesis writing as one of final year students' assignment is not a simple work. It involves hard work and effort to complete. This research addresses issue of the students' challenges to thesis writing among the eighth semester students of English Education Department at UIN Alauddin Makassar.
Full article: The impact of stress on students in secondary school and
In these students, coping strategies that included information gathering, problem solving and having a positive outlook, as well as adult social support and relaxation were inversely related to substance use (Wills, Citation 1986). This study demonstrates the importance of protective social factors in mediating the effects of academic-related ...
Financial Management Issues of College-Aged Students: Influences and
financial decisions. The final section of this thesis examines the various consequences that financial circumstances can have on college students, both short-term and long-term. Methodology This thesis is an extensive literature review on the broad topic of college students' finances, with a research emphasis on American students. The data ...
(PDF) Graduate Students' Challenges in Academic Writing
Furthermore, the students reported various difficulties that they struggle with in scholarly writing (e.g., written assignments, reflective essays, research proposals, research articles, thesis ...
PDF Challenges Faced by Bachelor Level Students While Speaking English
shyness, anxiety, and lack of confidence was found the major problems faced by the students while speaking English. Almost all the studies studied above (Al-Roud, 2016; Alam & Ashrafuzzaman, 2018a; Heriansyah, 2012; Nakhalah, 2016) are related to the present study and one of them is related to speaking anxiety and another one is related to ...
1000 Computer Science Thesis Topics and Ideas
This page provides a comprehensive list of computer science thesis topics, carefully curated to support students in identifying and selecting innovative and relevant areas for their academic research.Whether you are at the beginning of your research journey or are seeking a specific area to explore further, this guide aims to serve as an essential resource.
The Effects of Problem-Based Learning on the Writing Skills of Students
Problem-based learning (PBL) is an approach where group discussions and collaboration are apparent during problem-solving activities. Accordingly, learners' personality types that affect the way they think, feel, behave, and interact may potentially have a role in PBL classrooms. This study tries to reveal the possible roles personality types play in PBL by investigating the effects of PBL ...
Georgia School Shooting Victims Identified: Student Remembers ...
Two students and two teachers were killed in a school shooting at a Georgia high school on Wednesday, and nine others were injured, authorities said. A 14-year-old student was taken into custody ...
Graduate Thesis, Dissertation, and Capstone Project for SY 2024-2025
In the past six years, the Graduate Programs Committee and Office of the Assistant Vice President for Graduate Education in partnership with graduate students, various offices, schools, departments, and programs, have worked hard to improve our graduate research ecosystem. We have updated some of our policies and procedures based on research, benchmarking, reviews, and feedback from everyone ...
Schools struggling to find solutions to chronic absenteeism problem
Schwartz said schools need to invest in testing different messages for different student populations. "The problem is important enough that it's worth investing to find a solution," she said ...
(PDF) Students' Behavioral Problems and Teachers ...
The study sought to find students' most. common behavioral problems inside the classroom, the greatest barrier that hinder discipline. implementation in class and identifies teachers'. commonly ...
Innovation Clinic—Significant Achievements for 2023-24
Students were fortunate to visit Coinbase's Mountain View headquarters to learn from legal leaders at the company on all things Coinbase, crypto, and in-house, Plug & Play Tech Center's Sunnyvale location to learn more about its investment thesis and accelerator programming, and Google's Moonshot Factory, X, where we heard from lawyers at ...

Broad thesis (arguable, but difficult to support with evidence)

Arguable thesis with analytical claim

Arguable thesis with normative claim

Questions to ask about your thesis

Writing a Paper: Thesis Statements

Being Specific

Making a Unique Argument

Creating a Debate

Choosing the Right Words

Leaving Room for Discussion

Thesis Mad Libs

Words to Avoid and to Embrace

Related Resources

Walden Resources

Centers and Offices

Student Resources

Thesis – Structure, Example and Writing Guide

History of Thesis

Structure of Thesis

Introduction

Literature Review

Methodology

How to write Thesis

Example of Thesis

Application of Thesis

Purpose of Thesis

When to Write Thesis

Characteristics of Thesis

Advantages of Thesis

Limitations of Thesis

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