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Development of an Intelligent Tutoring System for Computer Science Education

 

Table Of Contents


Chapter ONE

: Introduction 1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objectives of Study
1.5 Limitations of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter TWO

: Literature Review 2.1 Overview of Computer Education
2.2 Importance of Intelligent Tutoring Systems
2.3 Previous Studies on Computer Science Education
2.4 Technologies in Computer Science Education
2.5 Learning Theories in Computer Education
2.6 Challenges in Computer Science Education
2.7 Innovations in Educational Technology
2.8 Impact of Intelligent Tutoring Systems
2.9 Future Trends in Computer Education
2.10 Gaps in Existing Literature

Chapter THREE

: Research Methodology 3.1 Research Design
3.2 Sampling Techniques
3.3 Data Collection Methods
3.4 Data Analysis Techniques
3.5 Research Instruments
3.6 Ethical Considerations
3.7 Pilot Study
3.8 Validity and Reliability

Chapter FOUR

: Discussion of Findings 4.1 Overview of Research Findings
4.2 Analysis of Data
4.3 Comparison with Literature
4.4 Interpretation of Results
4.5 Implications of Findings
4.6 Recommendations for Practice
4.7 Suggestions for Future Research

Chapter FIVE

: Conclusion and Summary 5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Limitations of the Study
5.5 Recommendations for Implementation
5.6 Conclusion Remarks

Thesis Abstract

Abstract
This research project focuses on the development of an Intelligent Tutoring System (ITS) for Computer Science Education. The aim of this study is to enhance the learning experience of students in the field of computer science by providing personalized and adaptive learning support through the use of artificial intelligence and machine learning techniques. The ITS will be designed to cater to the individual needs and learning styles of students, providing them with interactive and engaging learning activities. The project will begin with a comprehensive review of existing literature on intelligent tutoring systems, computer science education, artificial intelligence, and machine learning. This literature review will provide a solid theoretical foundation for the development of the ITS and help identify key factors to consider during the design and implementation phases. The research methodology will involve the design and development of the ITS using state-of-the-art technologies and methodologies. The system will be tested and evaluated through user studies and feedback from students and educators to assess its effectiveness in improving learning outcomes in computer science education. The findings of this study are expected to contribute to the field of computer science education by demonstrating the feasibility and benefits of using intelligent tutoring systems to enhance the learning experience of students. The discussion of findings will analyze the results of user studies and provide insights into the potential impact of the ITS on student learning outcomes and engagement. In conclusion, this research project aims to make a significant contribution to the field of computer science education by developing an Intelligent Tutoring System that can adapt to the individual needs of students and provide personalized learning support. The project outcomes are expected to have implications for the future design and implementation of educational technologies in the field of computer science, ultimately improving the quality of education and learning outcomes for students.

Thesis Overview

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