{"product_id":"handbook-of-generative-ai-in-education-michael-c-mayrath-ebook","title":"Handbook of Generative AI in Education","description":"\u003cp\u003e\u003cstrong\u003ePart I. Vision, Context, and Core Frameworks\u003c\/strong\u003e.- 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.- \u003cstrong\u003ePart II. Human-Centered Learning Sciences\u003c\/strong\u003e.- 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.- \u003cstrong\u003ePart III. Pedagogical Innovation and Instructional Design\u003c\/strong\u003e.- 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.- \u003cstrong\u003ePart IV.Assessment, Evidence, and Learning Analytics\u003c\/strong\u003e.- 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.- \u003cstrong\u003ePart V. Emerging Horizons and Closing Perspectives\u003c\/strong\u003e.- Chapter 23. Using GenAI with Knowledge-Based AI to Support Metacognition in AI Agents.- Chapter 24.Future Directions in Research and Practice.\u003c\/p\u003e","brand":"Michael C. Mayrath","offers":[{"title":"Default Title","offer_id":55096917721415,"sku":"9783032248190","price":352.03,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/handbook-of-generative-ai-in-education-ebook-cover.webp?v=1789882916","url":"https:\/\/www.cinebuch.de\/products\/handbook-of-generative-ai-in-education-michael-c-mayrath-ebook","provider":"CineBuch","version":"1.0","type":"link"}