Teaching and Learning in the Age of Generative AI (eBook, ePUB)
Evidence-Based Approaches to Pedagogy, Ethics, and Beyond
Redaktion: Corbeil, Joseph Rene; Corbeil, Maria Elena
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Teaching and Learning in the Age of Generative AI (eBook, ePUB)
Evidence-Based Approaches to Pedagogy, Ethics, and Beyond
Redaktion: Corbeil, Joseph Rene; Corbeil, Maria Elena
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Teaching and Learning in the Age of Generative AI explores how educators can effectively harness the potential of artificial intelligence technologies while skillfully navigating its pedagogical, technical, ethical, institutional, and societal implications.
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Teaching and Learning in the Age of Generative AI explores how educators can effectively harness the potential of artificial intelligence technologies while skillfully navigating its pedagogical, technical, ethical, institutional, and societal implications.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Erscheinungstermin: 30. April 2025
- Englisch
- ISBN-13: 9781040335574
- Artikelnr.: 73783955
- Verlag: Taylor & Francis eBooks
- Erscheinungstermin: 30. April 2025
- Englisch
- ISBN-13: 9781040335574
- Artikelnr.: 73783955
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Joseph Rene Corbeil is Professor of Educational Technology at The University of Texas Rio Grande Valley, USA. Maria Elena Corbeil is Professor of Educational Technology at The University of Texas Rio Grande Valley, USA.
Part I. Foundations and Frameworks of AI in Education 1. What is Generative
AI? A Primer 2. Developing a Framework for Implementing AI in Education and
Evaluating Its Use Part II. Transformative Teaching and Learning with AI
3. Transformative Teaching with AI 4. The Age of Chat: Education and the
Rise of No-Code Chatbots 5. Promoting Critical Thinking and Problem-Solving
Through AI Part III. Ethical and Institutional Considerations 6. Rethinking
Cheating in the Age of AI 7. Developing Institutional Policies for AI in
Education 8. Navigating Risks: Inaccuracies, Bias, Disinformation, and
Privacy in Educational AI 9. Exploring the Generative Artificial
Intelligence Fair Use Policy Landscape in Higher Education Part IV.
Preparing Educators and Students for AI Integration 10. Teaching Generative
AI in Higher Education: Strategies, Implications, and Reflective Practices
11. Preparing Pre-Service and In-Service Teachers for the AI-Driven
Classroom 12. Preparing Students to Live and Work in an AI-Driven World:
Ideas for Educators and Students Part V. Future Trends and Implications of
AI in Education 13. Redefining Assessments in the Age of AI 14. AI and the
Digital Divide 15. Defining Key Workplace Competencies in the AI Era: A
Framework for AI-Powered Education 16. AI-Driven Self-Directed Lifelong
Learning: Personalization and Empowerment in the Digital Age 17. The Future
of Learning: AI-Driven Education in 2040
AI? A Primer 2. Developing a Framework for Implementing AI in Education and
Evaluating Its Use Part II. Transformative Teaching and Learning with AI
3. Transformative Teaching with AI 4. The Age of Chat: Education and the
Rise of No-Code Chatbots 5. Promoting Critical Thinking and Problem-Solving
Through AI Part III. Ethical and Institutional Considerations 6. Rethinking
Cheating in the Age of AI 7. Developing Institutional Policies for AI in
Education 8. Navigating Risks: Inaccuracies, Bias, Disinformation, and
Privacy in Educational AI 9. Exploring the Generative Artificial
Intelligence Fair Use Policy Landscape in Higher Education Part IV.
Preparing Educators and Students for AI Integration 10. Teaching Generative
AI in Higher Education: Strategies, Implications, and Reflective Practices
11. Preparing Pre-Service and In-Service Teachers for the AI-Driven
Classroom 12. Preparing Students to Live and Work in an AI-Driven World:
Ideas for Educators and Students Part V. Future Trends and Implications of
AI in Education 13. Redefining Assessments in the Age of AI 14. AI and the
Digital Divide 15. Defining Key Workplace Competencies in the AI Era: A
Framework for AI-Powered Education 16. AI-Driven Self-Directed Lifelong
Learning: Personalization and Empowerment in the Digital Age 17. The Future
of Learning: AI-Driven Education in 2040
Part I. Foundations and Frameworks of AI in Education 1. What is Generative
AI? A Primer 2. Developing a Framework for Implementing AI in Education and
Evaluating Its Use Part II. Transformative Teaching and Learning with AI
3. Transformative Teaching with AI 4. The Age of Chat: Education and the
Rise of No-Code Chatbots 5. Promoting Critical Thinking and Problem-Solving
Through AI Part III. Ethical and Institutional Considerations 6. Rethinking
Cheating in the Age of AI 7. Developing Institutional Policies for AI in
Education 8. Navigating Risks: Inaccuracies, Bias, Disinformation, and
Privacy in Educational AI 9. Exploring the Generative Artificial
Intelligence Fair Use Policy Landscape in Higher Education Part IV.
Preparing Educators and Students for AI Integration 10. Teaching Generative
AI in Higher Education: Strategies, Implications, and Reflective Practices
11. Preparing Pre-Service and In-Service Teachers for the AI-Driven
Classroom 12. Preparing Students to Live and Work in an AI-Driven World:
Ideas for Educators and Students Part V. Future Trends and Implications of
AI in Education 13. Redefining Assessments in the Age of AI 14. AI and the
Digital Divide 15. Defining Key Workplace Competencies in the AI Era: A
Framework for AI-Powered Education 16. AI-Driven Self-Directed Lifelong
Learning: Personalization and Empowerment in the Digital Age 17. The Future
of Learning: AI-Driven Education in 2040
AI? A Primer 2. Developing a Framework for Implementing AI in Education and
Evaluating Its Use Part II. Transformative Teaching and Learning with AI
3. Transformative Teaching with AI 4. The Age of Chat: Education and the
Rise of No-Code Chatbots 5. Promoting Critical Thinking and Problem-Solving
Through AI Part III. Ethical and Institutional Considerations 6. Rethinking
Cheating in the Age of AI 7. Developing Institutional Policies for AI in
Education 8. Navigating Risks: Inaccuracies, Bias, Disinformation, and
Privacy in Educational AI 9. Exploring the Generative Artificial
Intelligence Fair Use Policy Landscape in Higher Education Part IV.
Preparing Educators and Students for AI Integration 10. Teaching Generative
AI in Higher Education: Strategies, Implications, and Reflective Practices
11. Preparing Pre-Service and In-Service Teachers for the AI-Driven
Classroom 12. Preparing Students to Live and Work in an AI-Driven World:
Ideas for Educators and Students Part V. Future Trends and Implications of
AI in Education 13. Redefining Assessments in the Age of AI 14. AI and the
Digital Divide 15. Defining Key Workplace Competencies in the AI Era: A
Framework for AI-Powered Education 16. AI-Driven Self-Directed Lifelong
Learning: Personalization and Empowerment in the Digital Age 17. The Future
of Learning: AI-Driven Education in 2040