EFFECT OF ARTIFICIAL INTELLIGENCE ON STUDENT LEARNING EXPERIENCE: A CASE STUDY OF UNIVERSITY OF NIGERIA, NSUKKA

Table of Contents

 

Abstract

 

Chapter One: Introduction

 

1.1 Background to the Study

1.2 Statement of the Problem

1.3 Objectives of the Study

1.4 Research Questions

1.5 Research Hypothesis

1.6 Significance of the Study

1.7 Scope of the Study

1.8 Limitations of the Study

1.9 Organization of the Study

1.10 Definition of Terms

1.10.1 Artificial Intelligence

1.10.2 Generative Artificial Intelligence

1.10.3 Student Learning Experience

1.10.4 AI-Supported Learning

1.10.5 Academic Performance

 

Chapter Two: Review of Related Literature

 

2.1 Introduction

2.2 Theoretical Review

2.2.1 Technology Acceptance Model (TAM)

2.2.2 Constructivist Learning Theory

2.2.3 Self-Determination Theory

2.3 Conceptual Review

2.3.1 Concept of Artificial Intelligence

2.3.2 Artificial Intelligence in Higher Education

2.3.3 Concept of Student Learning Experience

2.3.4 AI and Personalized Learning

2.3.5 AI and Student Engagement

2.3.6 AI and Academic Performance

2.3.7 AI, Critical Thinking and Higher-Order Learning

2.3.8 AI and Feedback in Learning

2.3.9 Challenges and Risks of AI in Student Learning

2.3.10 Artificial Intelligence and Overall Student Learning Experience

2.4 Empirical Review

Empirical Gap

References

 

Chapter Three: Research Methodology

 

3.1 Introduction

3.2 Research Design

3.3 Area of the Study

3.4 Population of the Study

3.5 Sample Size Determination

3.6 Sampling Technique

3.7 Instrument for Data Collection

3.8 Validity of the Instrument

3.9 Reliability of the Instrument

3.10 Method of Data Collection

3.11 Method of Data Analysis

3.12 Ethical Considerations

3.13 Limitations of the Methodology

3.14 Summary of the Chapter

 

Chapter Four: Data Analysis and Interpretation

 

4.1 Introduction

4.2 Demographic Characteristics of Respondents

4.3 Analysis of Research Questions

4.4 Test of Hypotheses

4.5 Discussion of Findings

4.6 Summary of Findings

4.7 Conclusion

 

Chapter Five: Summary, Conclusion and Recommendations

 

5.1 Introduction

5.2 Summary of the Study

5.3 Summary of Findings

5.4 Conclusion

5.5 Recommendations

5.6 Implications of the Study

5.7 Suggestions for Further Research

5.8 Contribution to Knowledge

5.9 Limitations of the Study

5.10 Summary of the Chapter

 

Questionnaire

 

Section A: Demographic Information

Section B: Extent of AI Usage for Academic Learning

Section C: Types of AI Tools Used by Students

Section D: Effect of AI on Student Engagement

Section E: Effect of AI on Student Understanding

Section F: Effect of AI on Academic Performance

Section G: Effect of AI on Critical Thinking and Higher-Order Learning

Section H: Effect of AI on Feedback and Academic Support

Section I: Effect of AI on Personalized Learning

Section J: Challenges Affecting the Effective Use of AI for Learning

Section K: Open-Ended Questions