1. Introduction 2. Theoretical Framework 2.1 Definition of Artificial Intelligence 2.2 Overview of Teacher-Student Dynamics 2.3 AI Applications in Education 3. Literature Review 3.1 Previous Studies on AI in Education 3.2 Case Studies of AI Implementations 3.3 Analysis of Teacher-Student Interactions 4. Methodology 4.1 Research Design and Approach 4.2 Data Collection Methods 4.3 Data Analysis Techniques 5. Impact of AI on Teacher Roles 5.1 Changes in Instructional Methods 5.2 Teacher Autonomy and AI 5.3 AI as a Teaching Aid 6. Impact of AI on Student Learning 6.1 Personalized Learning Experiences 6.2 Student Engagement and Motivation 6.3 Accessibility and Inclusivity Enhancements 7. Teacher-Student Communication 7.1 AI Mediated Interaction 7.2 Barriers to Effective Communication 7.3 Enhancing Feedback Mechanisms 8. Ethical and Social Implications 8.1 Privacy and Data Security Concerns 8.2 Equity and AI Bias 8.3 Social Skills and Human Interaction 9. Conclusion and Future Directions 9.1 Summary of Key Findings 9.2 Implications for Educational Policy 9.3 Areas for Future Research
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