AI-Powered HyFlex Learning for Student Engagement. Este artículo no está disponible.AI-Powered HyFlex Learning for Student Engagement

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.

Lim Chee Leong is an Associate Professor and Senior Director of Learning Innovation and Development at the Centre for Future Learning, Taylor’s University, Malaysia. He holds a Ph.D. in Educational Technology from University Putra Malaysia (UPM) and has over 25 years of experience in higher education, with a strong focus on technology-enhanced learning and pedagogical innovation. Dr. Lim is a nationally recognized educator, having received the prestigious National Academic Award (Anugerah Akademik Negara) in 2014, the highest honor for academic excellence in Malaysia. His scholarly contributions include authoring and editing three Scopus-indexed research books with IGI Global and publishing in numerous peer-reviewed journals in the areas of instructional design, blended learning, and self-regulated learning strategies. Dr. Lim has also served as guest editor for special issues in Scopus-indexed journals and has presented extensively at international conferences. He has led major university-wide initiatives in learning innovation and has served on national education committees and international judging panels, solidifying his role as a thought leader in the transformation of higher education. His work continues to influence educational policy and practice at both national and regional levels, positioning him as a thought leader in 21st-century learning innovation.

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.