AI-Powered HyFlex Learning for Student Engagement
Language: English
Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 184.28
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - AI-powered HyFlex learning represents a transformative approach to educate and combine the flexibility of hybrid and flexible learning models with adaptable AI. Students can now choose between in-person, online synchronous, or asynchronous participation, while AI tools create different learning experiences to match their individual needs. By leveraging adaptive feedback and predictive insights, AI enhances student engagement and ensures equitable access regardless of when or where students connect. This integration of technology and pedagogy is reshaping the future of education.AI-Powered HyFlex Learning for Student Engagement explores how AI is reshaping HyFlex education by enabling scalable, data-informed, and context-sensitive pedagogical innovation. This book is structured around the four foundational principles of HyFlex pedagogy-learner choice, equivalency, reusability, and accessibility-and examines how AI technologies can meaningfully support each principle. Covering topics such as AI, student engagement, and learning styles, this book is an excellent resource for researchers, scholars, academicians, educational institutions, graduate students, policy makers, and administrators.…
Seller Inventory # 9798337361833
- Title
- AI-Powered HyFlex Learning for Student Engagement
- Author
- Kwok Shing Cheng
- Publisher
- IGI GLOBAL SCIENTIFIC PUBLISHING
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798337361833
- Item weight
- 1,025 grams
- Dimensions
- 254x178x29 mm
"Synopsis" may belong to another edition of this title.
About the Author
Gary Cheng is an Associate Professor in the Department of Mathematics and Information Technology and the Director of the Centre for Learning, Teaching, and Technology (LTTC) at The Education University of Hong Kong. He holds a doctoral degree and has over two decades of experience in higher education, with a strong focus on technology-enhanced teaching and learning. His research interests span Artificial Intelligence in Education, Learning Analytics, e-Assessment, and Technology-enhanced Second Language Learning. He has published extensively in leading journals such as Computers & Education: Artificial Intelligence, The Internet and Higher Education, and Educational Technology & Society. Dr. Cheng also serves as Associate Editor at the open-access journals called Australasian Journal of Educational Technology, Computers & Education: X Reality, and Artificial Intelligence in Language Education. Recognized among the world’s top 2% most-cited scientists by Stanford University (2022, 2023, 2024), Dr. Cheng has led multiple funded research projects and received international awards for his innovative educational technologies. His academic leadership and editorial contributions position him as a key thought leader in the integration of AI and emerging technologies in education.
"About the title" may belong to another edition of this title.
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