Prof. Qiong Wang
Peking University, China

Bio: Dr. Qiong Wang, professor,Graduate School of Education, Peking University. Director of the National Intelligent Society Governance Experimental Lab of Peking University, Recent research interests: influences of new generation AI for Education, situated AIED ethics, lifelong learning for all.

Prof. Mutlu Cukurova
University College London, UK

Bio: Mutlu Cukurova is Professor of Learning and Artificial Intelligence at University College London. Prof. Cukurova investigates human-AI complementarity in education. He directs the UCL AI in Education and Learning Analytics team and leads the Design and Use of AI in Education course at UCL. In addition, he is engaged in policy-making activities as an external expert (including UNESCO, OECD, and EC external expert groups and co-authored the UNESCO AI Competency Framework for Teachers). He was the programme co-chair of the International Conference of AI in Education in 2020, CSEDU in 2022, and ACM LAK conference in 2026. He is part of UCL's Grand Challenges on Transformative Technologies working group, named in Stanford’s Top 2% Scientists List, Editor-in-Chief of the British Journal of Educational Technology and Associate Editor of the International Journal of Child-Computer Interaction. 

Prof. Looi Chee Kit
The Education University of Hong Kong, Hong Kong, China

Bio: Professor Looi Chee Kit is Chair Professor at the Education University of Hong Kong, HKSAR. He is also Emeritus Professor at the National Institute of Education (NIE) of Nanyang Technological University (NTU), Singapore. During his tenure in NTU, Singapore, Professor Looi also served as the Co-Director of the Center for Research and Development into Learning (CRADL) at NIE, NTU.
Professor Looi's research focuses on the learning sciences, computer-supported collaborative learning, mobile learning, AI in education, and computational thinking. He is a Fellow of the International Society of the Learning Sciences and a Fellow of the Asia-Pacific Society for Computers in Education. He was a founding member of the Global Chinese Society of Computers in Education and served as its President from 2017 to 2019.
Professor Looi was a member of the Core Expert Group for developing the framework for assessing Collaborative Problem Solving in the OECD PISA 2015 study and served as a special consultant to the Smart Learning Institute of Beijing Normal University. Since 2021, Professor Looi has been listed in the annual ranking of the Top 2% of Career Scientists Worldwide, compiled by Stanford University and Elsevier. 

Assoc. Prof. Younbo Jung
Nanyang Technological University, Singapore

Bio: Dr. Younbo Jung is an Associate Professor at the Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore. He earned a B.A. and M.A. in Telecommunications from Michigan State University and a Ph.D. from the Annenberg School for Communication and Journalism at the University of Southern California. His research examines the social and psychological implications of human communication, focusing on generative AI, serious games, virtual reality, human–computer interaction, and computer-mediated communication. An award-winning educator, Dr. Jung has received five teaching awards at NTU, including the Nanyang Excellence in Teaching Award (2010) and the Graduate Mentorship Award (2024). He has served as an inaugural Fellow of the Teaching Excellence Academy since 2014. His work integrates emerging educational technologies with communication science through interdisciplinary research and engaged pedagogy.

Speech Title: The Paradox of Automation and Augmentation: Enhancing Learning, Not Just Performance, with Teachable AI in Education

Daniel Mitelpunkt
Imperial College London, UK

Bio: Daniel Mitelpunkt is Founder and Director of Imperial College London’s Digital Media Lab (DML), established to develop interactive and time-based solutions and media for learning and research.
The lab’s work ranges from spatial computing in traditional lecture theatres to VR digital twins of teaching labs, positioning DML as the university’s interdisciplinary hub for applied media.
DML is recognised for its close alignment with evolving needs and opportunities, and for its collaborative approach—working with leading academic and professional staff across the institution in both education and research. The team brings together expertise from gaming, broadcast, and XR, creating a dynamic environment for innovation. An inspirational external advisory board further enriches the lab’s work.
Beyond Imperial, Daniel is an active advocate for Creative Technology within Higher Education, championing stronger ties between academia and the creative industries and giving this emerging field a stronger voice.