1Chapter 1: The Dawn of AI in Education
12Chapter 12: Personalizing Feedback and Support
2Chapter 2: Understanding Personalized Learning
13Chapter 13: Bridging the Gap for Diverse Learning Needs
3Chapter 3: AI-Technologies at the Forefront
14Chapter 14: Privacy and Ethics in AI-Driven Education
4Chapter 4: Data-Driven Insights: Gathering Student Information
15Chapter 15: Preparing Students for an AI-Pervasive Future
5Chapter 5: Adaptive Learning Systems: The Basics
16Chapter 16: Global Perspectives on AI in Education
6Chapter 6: Customizing Curriculum with AI
17Chapter 17: Evolving Educational Policies in the Age of AI
7Chapter 7: Enhancing Student Engagement through Technology
18Chapter 18: Collaborations between EdTech and Educators
8Chapter 8: Real-world Examples of AI in Classrooms
19Chapter 19: Future Trends: Predictive Analytics and Beyond
9Chapter 9: Overcoming Challenges in Implementing AI
20Chapter 20: Vision for the Future: The Next Steps in Personalized Education
10Chapter 10: The Role of Educators in the AI-Driven Classroom
21About the Author
11Chapter 11: AI's Impact on Student Assessment