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Handbook of Generative AI in Education

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Part I. Vision, Context, and Core Frameworks.- Chapter 1. Introduction to Generative AI in Education.- Chapter 2. A Primer on Generative AI Technologies and Their „Psychology“.- Chapter 3. Exploring the Effects of Generative AI on Learning Using the ISAR Model.- Chapter 4. Scaling Generative and Agentic AI in Education: Market Dynamics, Workforce Transformation, and the Reality Gap.- Chapter 5. Social and Ethical Dimensions to GenAI in Higher Education.- Chapter 6. From Consumers to Creators: Why Educators Must Shape the GenAI Future.- Part II. Human-Centered Learning Sciences.- Chapter 7. Science Literacy: Generative AI as Enabler of Coherence in the Teaching, Learning, and Assessment of Scientific Knowledge and Reasoning.- Chapter 8. Harnessing Generative AI to Foster Self-Regulated Learning in Game-Based Simulations: A Multimodal Trace Data Approach.- Chapter 9. Generative Artificial Intelligence and Independent Learning: Evaluating Emerging Tools for Effectiveness.- Chapter 10. Human-Centered Approaches to Generative AI in Education.- Chapter 11. Human–AI Interaction in Higher Education: A Cognitive Perspective on AI-Supported Student Learning.- Part III. Pedagogical Innovation and Instructional Design.- Chapter 12. From Prompt to Practice: Using the PROSE Model for Constructive Alignment in Course Design and Teaching with Generative AI.- Chapter 13. Generative AI in Adult Online Learning: A Systematic Review of Research and Practice.- Chapter 14. Advancing Medical Education: The AI-Powered Dynamic Classroom.- Chapter 15. Reimagining Pedagogy with AI: Toward a Future of Learning Through Creation.- Part IV.Assessment, Evidence, and Learning Analytics.- Chapter 16. Tracking Changes in JeepyTA’s Feedback Across Writing Assignments.- Chapter 17. Exploring the Use of Neuro-Symbolic Approaches to Identify and Aggregate Evidence in Educational Assessment.- Chapter 18. Modeling Interactions Between Learners and Generative Artificial Intelligence Using Epistemic Frameworks.- Chapter 19. How Generative AI Helps Educational Assessment: Various Roles It Plays in Educational Measurement Research.- Chapter 20. The Semblance of Sense: A Quantitative Ethnographic Framework for Analyzing Human–AI Collaboration.- Chapter 21. Assessing and Supporting Collaboration Skills Through Generative AI.- Chapter 22. Conversational Assessment Powered by Generative AI.- Part V. Emerging Horizons and Closing Perspectives.- Chapter 23. Using GenAI with Knowledge-Based AI to Support Metacognition in AI Agents.- Chapter 24.Future Directions in Research and Practice.

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