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1. Introduction 2. Background of Assessment Practices 2.1 Traditional Assessment Methods 2.2 Challenges in Current Practices 2.3 Need for Transformation in Education 3. Artificial Intelligence in Education 3.1 Definition and Key Concepts 3.2 AI Technologies in Learning 3.3 Benefits of AI in Education 4. AI-Driven Assessment Practices 4.1 Adaptive Assessment Techniques 4.2 Automated Feedback and Grading 4.3 Personalized Learning Paths 5. Fostering Autonomous Learning 5.1 Definition of Autonomous Learning 5.2 Role of AI in Self-Directed Learning 5.3 Case Studies of AI in Autonomous Learning 6. Impacts on Educators and Institutions 6.1 Changing Role of Educators 6.2 Institutional Challenges and Opportunities 6.3 Professional Development for Educators 7. Ethical Considerations and Concerns 7.1 Data Privacy in AI Applications 7.2 Bias and Fairness in AI Systems 7.3 Ensuring Equity in Access 8. Future Directions and Recommendations 8.1 Emerging AI Technologies in Assessment 8.2 Integration Strategies for Schools 8.3 Sustainable Implementation Practices
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