Matthew L. Bernacki is Associate Professor of Learning Sciences and Psychological Studies and Kinnard White Endowed Scholar in the School of Education at the University of North Carolina at Chapel Hill, USA.

Candace Walkington is Professor of Mathematics Education and the Annette and Harold Simmons Centennial Chair in the Department of Teaching and Learning at Southern Methodist University, USA.

Alyssa Emery is Assistant Professor of Learning Sciences in the School of Education at Iowa State University, USA.

Ling Zhang is Assistant Professor of Special Education in the College of Education at the University of Wyoming, USA.

Section 1. An Introduction to Personalized Learning 1. Trends in Personalized Learning 2. A History & Taxonomy of Personalized Learning 3. An Extensible Model of Personalized Learning Section 2. Exemplary Models of Personalized and Adaptive Learning 4. An Exemplar: Personalized Learning from the Perspective of Intelligent Tutoring Systems 5. An Exemplar: Personalized Learning in Educational Games Using Stealth Assessment Section 3. Psychological Theories of Learning that Can Inform Personalized Learning Design 6. Adapting to Prior and Developing Knowledge 7. Personalizing Learning to Promote Interest 8. Personalizing Learning to Promote Relevance 9. Personalizing with Choices to Promote Autonomy: A Self-Determination Perspective on Personalized Learning Design 10. Personalizing to Individual Differences: Promoting Inclusive and Equitable Opportunities for Learning Section 4. Instructional Designs for Personalized Learning 11. Culturally Responsive Personalized Learning 12. Leveraging Digital Curation for Personalized Learning 13. Project-Based Instruction as Personalized Learning 14. Personalized Learning in the Age of Generative Artificial Intelligence: Opportunities and Challenges Section 5. PL in Academic Subjects 15. Personalized Learning in Mathematics 16. Personalized Learning in English Language Arts: Reading Comprehension 17. Personalized Learning in Social Studies 18. Theoretical, Empirical, and Illustrative Considerations of Personalized Learning within Computer Science Education Section 6. Personalization For Learners, Teachers, and Communities 19. Personalized Learning for Early Learners 20. Applying Self-Determination Theory to the Effective Implementation of Personalized Learning in Online Higher Education 21. Holistic Individualized Coaching: A Personalized Learning Approach to Support Teacher Learning 22. Anishinaabe Indigenous & Extensible Models of (Inter-Species)-Personalized Learning: Towards a Holistic Revision Section 7. Implementing Personalization: Policy, Technology, and Contextual Considerations 23. Understanding Personalization and Individualization from Education Policy Perspectives: Towards an Integrated School-Wide Implementation System 24. Teacher Perspectives on Implementing Personalized Learning across Contexts 25. Design and Implementation Factors for Digital Personalized Learning in Low- and Middle-Income Countries 26. Asset-based Personalized Learning