AI-Powered Pedagogy and Curriculum Design
Practical Insights for Educators
Published on 17. September 2025
274 pages
978-1-040-41257-2 (ISBN)
Description
AI-Powered Pedagogy and Curriculum Design offers practical insights and guidance on the effective integration of AI tools into teaching practices and curriculum design. While numerous claims exist as to the validity and authenticity of the applications of AI in schools, too little attention has been paid to empirical research conducted with and by teachers in real-world classrooms. This book synthesises diverse viewpoints from teacher educators across disciplines and levels toward a comprehensive, context-specific understanding of the challenges and best practices for responsibly leveraging Generative AI to enhance outcomes in classrooms. Contributors further shed light on how Generative AI can align with standards, assessment practices, and teacher training programs in different settings. Firsthand classroom experiences and experimental approaches of educators in the United Kingdom and Europe will provide current and aspiring teachers with insights into the intersection between AI and teacher empowerment, student participation, ethical implications, and socially just approaches.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
1 Tables, black and white
File size
0,52 MB
ISBN-13
978-1-040-41257-2 (9781040412572)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
09/2025
1st Edition
Routledge
€67.90
Shipment within 10-20 days
Book
09/2025
1st Edition
Routledge
€207.90
Shipment within 10-20 days
Persons
Geoff Baker is CEO of True Learning Partnership Multi-Academy Trust and Emeritus Professor of Education at the University of Greater Manchester, UK.
Lucy Caton is Lead for the Centre of AI in Education in the School of Education at the University of Greater Manchester, UK.
Lucy Caton is Lead for the Centre of AI in Education in the School of Education at the University of Greater Manchester, UK.
Content
Introduction: AI in Education Part 1: Historical and Philosophical Foundations for Engaging with AI and Education 2. How Did we Get Here? A Brief History of Artificial Intelligence 3. A Philosophical Overview of Key Ethical Concepts for Navigating AI in Education Part 2: AI, Education and Ethics in Practice 4. AI in Education: Balancing Innovation and Ethics 5. Ethics in Practice: How AI is Transforming the Experience of Higher Education 6. Transparency and Accountability in AI Decision-Making Processes: Explainable AI and Education Part 3: Professional Development and Teacher Identity in AI and Education 7. Navigating the Landscape of AI in Teacher Professional Development 8. Professional Readiness and Ethical Practices for AI Integration: Establishing a Framework for Staff Development 9. 'If Students have ChatGPT, Why do they Need Us?': Why Educators Remain Irreplaceable in AI-Enhanced Learning 10. Academic Identity in the AI Era: Navigating Resistance, Adaptation, and Traditional Values in Higher Education Part 4: Student Experience and Employability in AI and Education 11. AI and Student Experience: Enhancing Students' Learning Experience through AI Integration 12. Metamorphic Frontiers: The Influence of Generative AI on Enhancing Student Employability 13. Ada and FirstPass: Bolton College's Digital Assistants for Students, Teachers and Campus Support Teams 14. Understanding the Staff and Student Partnership to Maximise the Benefits of AI in Higher Education Institutions 15. Conclusion: Building Skills, Ethics, and Human Autonomy within a Future of AI-Enhanced Learning
