Buch, Englisch, 198 Seiten, Format (B × H): 152 mm x 229 mm
Reimagining Higher Education with Generative AI
Buch, Englisch, 198 Seiten, Format (B × H): 152 mm x 229 mm
ISBN: 978-1-041-38184-6
Verlag: Taylor & Francis Ltd
The AI–Educator Playbook serves as both a mirror and a guide for educators navigating the transformative era of artificial intelligence in education.
The advent of generative AI in classrooms has upended traditional notions of teaching, feedback, and academic integrity. Rather than succumbing to fear, hype, or resistance, this book empowers educators to embrace thoughtful, evidence-based practices that harness the potential of AI. Grounded in global research and enriched by real-world stories from classrooms and universities, the author explores how AI can enhance assessment, foster inclusion, support writing, improve advising, and even influence institutional governance. Each chapter blends theory with actionable strategies, offering clear learning outcomes, common pitfalls, safeguards, and practical exercises that can be immediately applied in higher education or professional settings.
With a focus on staying human in a digital age, this text invites readers and educators to rethink what education can become in partnership with AI.
Zielgruppe
Academic and Postgraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I: Foundations of AI 1. Why AI Matters Now 2. Shifting Pedagogical Landscapes 3. Redefining Academic Integrity 4. Designing AI-Resilient Assessment Part II: Designing with AI 5. Backward Design with AI 6. Feedback at Scale 7. Accessibility and Inclusion 8. Academic Writing and the Art of Reading Part III: AI in Practice 9. STEM and Data 10. Languages and the Humanities 11. Professional Programs in Higher Education 12. Student Advising and Academic Success 13. Research in the Age of AI Part IV: Implementation and Policy 14. Implementation at the Department and Faculty Level 15. Privacy, Security, and Compliance 16. Quality Assurance and Impact Part V: The Road Ahead 17. Agentic, Multimodal, and Local AI 18. Building a Responsible AI Culture Epilogue
