GenAIED

Cultural and Pedagogical Catalysts in Higher Education
1. Auflage 2026
ISBN: 978-1-041-20440-4
Verlag: Taylor & Francis

Buch, Englisch, 314 Seiten, Format (B × H): 156 mm x 234 mm

This volume explores how generative artificial intelligence is reshaping universities worldwide. Rather than focusing only on the technology, it shows how AI is changing how students learn, teachers teach, and institutions operate, while also being shaped by cultural values, educational traditions, and social expectations.

Bringing together international case studies from regions including Europe, the Middle East, East Asia, and the Global South, the book presents empirical evidence of AI integration across fields—from design studios in China to large-scale chatbot deployment in UK classrooms and creativity studies in Egypt and Iraq. These cases highlight both opportunities, such as personalized learning and increased engagement, and challenges, including academic integrity, inequality, and ethical concerns. It introduces new ways of understanding AI not just as a tool, but as part of the everyday infrastructure of higher education. Across disciplines ranging from business and programming to architecture and the creative arts, it shows how thoughtful design and cultural awareness are essential for effective use of AI.

Accessible and forward-looking, this volume offers educators and policymakers a timely guide to the future of global higher education in the age of AI. It will also be of interest to researchers in education, digital humanities, and the social studies of technology.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Li, Na

Koroleva, Diana

Lalli, Gurpinder Singh

Kim, Jinhee

Fachgebiete

• Sozialwissenschaften Pädagogik Teildisziplinen der Pädagogik Multikulturelle Pädagogik, Friedenserziehung
• Sozialwissenschaften Pädagogik Pädagogik Philosophie der Erziehung, Bildungstheorie
• Sozialwissenschaften Pädagogik Schulen, Schulleitung Universitäten, Hochschulen
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie

Inhaltsverzeichnis

1. Introduction  Part I: Pedagogy and Learning Design  2. GenAI as a Cultural Catalyst in Higher Education: A Conceptual Model for Cultivating Passion Through Collaboration  3. Challenges and Opportunities for Enhancing Students' Creativity with Generative AI in Higher Education- Case Studies from the Global South 4. Using Generative AI in multimodal contexts to improve longevity/durability of assessment and cognitive engagement in higher education students 5. Applying Generative Artificial Intelligence for Solving Programming Tasks  Part II: Student Engagement and Wellbeing  6. Reflective Conversation as an Approach for Generative AI-Collaborated Architecture Design Studio Education: Cybernetic Practice as a Pedagogical Paradigm 7. Integrating Generative AI to enhance student engagement and motivation: Insights from large-cohort business modules 8. Latent Space Meandering: Process Structure, Mind Wandering, and Authorship in AI-Mediated Creative Practice  Part III: Cultural Responsiveness and Ethics  9. Conversational Alchemy: AI Education and the Evolution of Cybernetic Dialogue Systems 10. Generative AI, UBI, and the Future of Student Wellness in Higher Education 11. The Application of Generative AI and Studio-Based Culture: A Case of Photo Collage 12. AI-Agents for Culturally Diverse Online Higher Education Environments  Part IV: Leadership, Management, and Policy  13. Hofstede’s Cultural Dimensions and the Choice of AI Regulatory Approaches by University Stuff 14. Ethical Considerations of Generative AI in Higher Education: A Global Perspective 15. Supporting the implementation of chatbots at a transnational university in China  Part V: Human–GenAI Collaboration and Future Directions  16. A Theoretical Review of Identity Formation for Workplace Management under an Intelligent Tutoring System Learning Environment 17. Navigating the blessing-curse paradox: An ecological perspective of cultivating a culture of responsible generative AI use in higher education 18. Guidelines on the Use of Generative AI in Higher Education: Socio-technical Approaches in a Comparative Case Study 19. Conclusion

Über Autor(innen)

Dr Na Li is a Senior Associate Professor, Acting Head of the Department of Educational Studies within Academy of Future Education at Xi’an Jiaotong-Liverpool University. Her research focuses on VLEs, AI-Human collaborative learning design and leadership in higher education.

Dr Diana Koroleva is Scientific Director of the Laboratory for Educational Innovation Research at HSE University (Moscow). She leads the International Competition of Innovations in Education (KIVO). Her work explores educational innovation, digitalization, and AI. She serves as an editor and associate editor for several European academic journals and is an active contributor to leading international scholarly publications.

Professor Gurpinder Singh Lalli is Professor of Education for Social Justice and Inclusion at University of Wolverhampton, UK. His work focuses on international comparative studies around social justice and inclusion.

Dr Jinhee Kim is an Assistant Professor of Instructional Design and Technology in the Department of STEM and Professional Studies at Old Dominion University, U.S.A. Her research interests include AI in Education, Human-AI Interaction in Education, and Learning and Teaching Analytics. Her work has been published in major international academic journals such as Computer and Education, Educational Technology Research and Development (ETR&D), British Journal of Educational Technology, Education and Information Technologies, and Journal of Research on Technology in Education.