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Introduction

Intelligent tutoring and mentoring systems have been increasingly utilized in the field of education to provide personalized support and guidance to students. These systems use artificial intelligence and adaptive technologies to create interactive learning environments that can tailor instruction to meet individual student needs. This thesis explores the application of adaptive conversational systems in intelligent tutoring and mentoring, and its potential to enhance the learning experience for students.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of Intelligent tutoring and mentoring systems
2.2 Theoretical framework of adaptive conversational systems
2.3 Benefits and challenges of using adaptive conversational systems in education
2.4 Previous studies on intelligent tutoring and mentoring through adaptive conversational systems
2.5 Comparison of different adaptive technologies in education
2.6 Impact of adaptive conversational systems on student learning outcomes
2.7 Ethical considerations in the use of intelligent tutoring and mentoring systems
2.8 Future trends in adaptive technologies for education
2.9 Gaps in the current literature
2.10 Conclusion

Chapter 3: Research Methodology
3.1 Research design
3.2 Participants
3.3 Data collection methods
3.4 Data analysis techniques
3.5 Ethical considerations
3.6 Limitations of the research methodology
3.7 Validity and reliability of the study
3.8 Pilot testing
3.9 Data interpretation
3.10 Conclusion

Chapter 4: Discussion of Findings
4.1 Overview of the study
4.2 Analysis of data
4.3 Comparison of findings with existing literature
4.4 Implications for practice
4.5 Recommendations for future research
4.6 Practical implications
4.7 Limitations of the study
4.8 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contributions to the field
5.3 Implications for policy and practice
5.4 Recommendations for further research
5.5 Conclusion

Thesis Overview:

Intelligent tutoring and mentoring through adaptive conversational systems have gained attention in recent years as a promising approach to personalized education. This thesis aims to explore the potential of adaptive conversational systems in enhancing the learning experience for students. The literature review will provide an overview of existing research on intelligent tutoring systems, adaptive technologies, and their applications in education. The research methodology will outline the design, data collection methods, and analysis techniques used in this study. The discussion of findings will analyze the results and compare them with existing literature, while the conclusion will summarize key findings and provide recommendations for future research. Through this thesis, we hope to contribute to the advancement of intelligent tutoring and mentoring systems in education.

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