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1. Introduction 2. Historical Context of AI in Education 2.1 Early Developments 2.2 Evolution in Mathematics Education 2.3 Current Trends and Statistics 3. Opportunities Offered by AI 3.1 Personalized Learning Systems 3.2 Enhancing Classroom Interactivity 3.3 Data-Driven Instructional Methods 4. Challenges in AI Integration 4.1 Ethical Considerations 4.2 Technological Limitations 4.3 Resistance to Change in Curriculum 5. AI Tools and Technologies in Use 5.1 Adaptive Learning Software 5.2 Intelligent Tutoring Systems 5.3 Virtual Reality Tools for Mathematics 6. Case Studies in Mathematics Education 6.1 Implementations in Primary Education 6.2 Secondary Education Success Stories 6.3 Post-secondary Education Innovations 7. Future Prospects and Innovations 7.1 Emerging AI Technologies 7.2 Potential Educational Reforms 7.3 Predictions for AI's Role in Education 8. Conclusion and Recommendations 8.1 Summary of Key Findings 8.2 Policy Recommendations 8.3 Areas for Further Research
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