| Prof. Maiga Chang |
Athabasca University, Canada
Biography: Dr. Maiga Chang is Associate Dean, Research & Innovation, and Full Professor at Faculty of Science and Technology, Athabasca University, Canada. He is also Honorary Chair Professor at Multidisciplinary Academic Research Center, National Dong Hwa University, Taiwan. Dr. Chang is IEEE Senior Member and has been appointed as an IEEE Computer Society Distinguished Visitor for 2023 to 2025. He is also received Distinguished Researcher Award from Asia Pacific Society on Computers in Education (APSCE) in 2022.
Dr. Chang is now Vice President (2022~) of International Association of Smart Learning Environments (IASLE) and editors-in-chief (2019~) of Journal of Educational Technology & Society (Open Access SSCI in Quartile Q1 with rank 22/756 in Education & Educational Research category by Journal Impact Factor 4.595), editor-in-chief (2014~) of International Journal of Distance Education Technologies (Open Access ESCI in Quartile Q1 with rank 64/756 in Education & Educational Research category by Journal Impact Factor 3.3, SCOPUS, EI), and editor-in-chief (2020~) of Bulletin of Technical Committee on Learning Technology (Open Access ESCI).
He is also an Executive Committee member of Asia-Pacific Society for Computers in Education (2017~2024, APSCE) and Global Chinese Society for Computing in Education (2016~2025, GCSCE), and Chair (2021~) of Educational Activities Committee, IEEE Northern Canada Section. Dr. Chang is helping as a Steering Committee member (2020~) for International Conference on Intelligent Tutoring Systems (ITS).
Dr. Chang has given more than 160 talks and lectures in different events; He also has (co-)authored more than 260 book chapters, journal and international conference papers. He is an IEEE member since 1996 and also a member of ACM (2001-2017), AAAI (since 2001-2017), INNS (2004-2018), and Phi Tau Phi Scholastic Honor Society.
His current research mainly focus on artificial intelligence; natural language processing; learning behaviour analysis; learning analytics and academic analytics; game-based learning, training and assessment; intelligent agent technology; educational data mining; computational intelligence; health informatics and healthcare technology, etc.
| Prof. HEW, Timothy K. F. |
The University of Hong Kong, Hong Kong
Biography: Professor Timothy HEW is a Full Professor of Education at the University of Hong Kong (HKU). He holds a Ph.D. in Instructional Systems Technology from Indiana University Bloomington, where he developed a strong foundation in the design and implementation of educational technologies. Prior to joining HKU, Professor Hew served as an Assistant Professor at Nanyang Technological University in Singapore. His research primarily focuses on optimizing student engagement in online activities. Since 2015, Professor Hew has been recognized as a World Top 1% scholar in his field by Essential Science Indicators, based on Web of Science indexed journal article citations, (http://hub.hku.hk/local/top1pc/top1pc.jsp). Throughout his career, Professor Hew has received over 50 types of recognitions and awards. Additionally, his commitment to education extends beyond research; he is an acclaimed educator who has influenced many students through his innovative teaching methods and mentorship. Notably, he was honored with the HKU Faculty of Education Outstanding Research Student Supervisor Award in 2020.
Title: Supporting student self-regulation in online activities: Role of AI
| Prof. Robin Kay |
University of Ontario, Canada
Biography: Dr. Robin Kay is currently the Dean and a Full Professor in the Faculty of Education at Ontario Tech University in Oshawa, Canada. Dr. Kay received his MA in Computer Applications in Education at the University of Toronto and his Ph.D. in Cognitive Science (Educational Psychology) at the University of Toronto. He has published over 200 articles, chapters, and conference papers in the area of pedagogy, education, and technology and has taught in the fields of computer science, mathematics, and educational technology for over 30 years at the high school, college, undergraduate and graduate level. Current projects include research on AI in education, e-learning tools, online and blended learning in secondary and higher education, video podcasts, scale development, emotions and the use of computers, and factors that influence how students learn with technology