Invited Speakers

The invited speaker list is in attendance confirmation time order. | 特邀报告名单按确认参会的时间先后顺序排列。


Assoc. Prof. Yanjie Song
The Education University of Hong Kong, Hong Kong, China

Dr. Song Yanjie is an Associate Professor in the Department of Mathematics and Information Technology and Associate Director of Centre for Immersive Learning and Metaverse in Education (CILME). She obtained her PhD at Faculty of Education, The University of Hong Kong, and MEd at University of Leeds, the UK. The University of Hong Kong, Her research interests include augmented reality (AR), virtual reality (VR), artificial intelligence (AI) and metaverse in education, multimodal learning analytics, and innovative pedagogy designs. She was successful in leading her team to develop a few award-winning apps. Her team’s recent development of the metaverse platform – ‘Learningverse’ won ‘Bronze Medal’ at Geneva Inventions (2023) in Switzerland, and ‘Silver Medal’ and ‘Excellence in Innovation Award’ at the International Invention Innovation Competition in Canada (iCAN) (2023). She also received the Dean’s output prize twice and other academic related awards. She was among the top 2% in the Stanford list of the world’s most-cited scientists (in education) in 2021 and 2023.





Assoc. Prof. Bo Jiang
East China Normal University, China

Dr. Bo Jiang is currently an associate professor at Shanghai Institution of AI for Education, East China Normal University (ECNU), China. He is also the deputy dean of School of Computer Science and Technology, ECNU. His research primarily explores technology-supported personalized learning, with a focus on learner modeling. He has published more than 50 peer-reviewed articles in journals and conference proceedings. He actively participates in the academic community, serving as an Executive Committee member of the Asia-Pacific Society on Computers in Education (APSCE), an Editorial Board member of the IEEE Transactions on Learning Technologies and Research and Practice in Technology Enhanced Learning. Moreover, he has taken on leadership roles as the IPC Chair for GCCCE 2023 and IPC Co-chair for ICCE 2024. He received 2021 APSCE Early Career Research Award.





Prof. Hui-Wen Huang
Shaoguan University, China

Dr. Hui-Wen Huang is a professor at Shaoguan University, Guangdong, China. She completed her Ph.D. degree in curriculum and instruction with a focus on online education from the University of Idaho, U.S.A. Prior to her current position, she had worked in various universities, including Taiwan, the U.S., and Mainland China, as a faculty member in teaching and research over the past two decades. Her recent work involves immersive learning using 360 VR videos across disciplines and artificial intelligence (AI) in education.

Dr. Huang has published more than 20 SSCI-indexed journal articles and international conference proceedings indexed by EI Compendex on educational technology and foreign language learning. She has actively served the academic communities, either as an invited speaker or technical committee member, in different international conferences over the past five years. She has been working with different scholars in Japan, Turkey, and the U.S. to help EFL learners develop cross-cultural competence since Spring 2020. Recently, she is working on applying AI chatbots in education and mental health.





Assoc. Prof. Bingshu Wang
Northwestern Polytechnical University, China

Bingshu WANG, Associate Professor, in School of Software, Northwestern Polytechnical University. He received his Ph.D. from University of Macau. He is also an member of Chinese Association of Automation (CAA), China Computer Federation (CCF), Chinese Association for Artificial Intelligence(CAAI). He serves as reviewer for AAAI, ICME, IJCAI, ICASSP, IET Image Processing, Multimedia Tools and Applications, IEEE Transactions on Artificial Intelligence, IEEE Transactions on Cybernetics, Computers and Electronics in Agriculture, IEEE Transactions on Education. His current research interests include computer vision, machine learning, UAV, and Artificial Intelligence Education. He has published more than 30+ papers in the important conferences or journals. He wins the excellent supervisor prize from Northwestern Polytechnical University in 2023. He also wins the first prize in 2022, the second prize in 2023 for Teaching and Research Prize. He has been carrying out the research of how to use large language models for education, for example, using chatGPT to generate high-quality code. He also designs a general information literacy course for first-year postgraduate students, improving academical and innovative abilities.





Assoc. Prof. Yong Liu
Beijing University of Posts and Telecommunications, China

Dr. Yong Liu is an Associate Professor in School of Network Education at Beijing University of Posts and Telecommunications (BUPT). She obtained her Bachelor and PhD degrees on Communication and Information System from BUPT. Her research focuses on the combination of information technology and education, involving educational statistics, educational measurement, and the application of artificial intelligence in education. She has published more than 20 research paper, applied for six patents, and participated in the drafting of 1 international standard and 2 national standards about educational technology. She has presided over or participated in more than 10 national, provincial and other level projects.





Assoc. Prof. Guolong Quan
Jiangnan University, China

Guolong Quan, PhD graduated from East China Normal University. He is an associate professor at the School of Education, Jiangnan University.
For 15 years, he has been engaged in topics such as learning science and technology, education informatization, and AI education. He specialized in the research of e-learning, visualization design and application, etc. Furthermore, he has led projects and participated in research work on knowledge visualization and representation, STEM education and teaching, intelligent technology empowerment experience, and intelligent education literacy.
Currently, Dr. Quan’s primary research revolves around the application design and analysis of adaptive learning systems. His work delves into the functional characteristics of these systems under new curriculum standards and technological conditions, their teaching application design, application effect analysis, and practical implications for intelligent application enhancement.





Assoc. Prof. Wen Xiao
Anhui Normal University, China

Xiao Wen is an associate professor and doctoral supervisor with a Ph.D. in Engineering. Currently, he serves as the director of the Department of Educational Technology at Anhui Normal University. His main research and teaching focus areas include intelligent education technology and artificial intelligence in education. He has published over 20 academic papers in journals index by SSCI/SCI/EI/, and has led 8 provincial and ministerial-level projects, including the Philosophical and Social Science Planning Project of the province.





Lecturer Alex W. C. TSE
The University of Hong Kong, Hong Kong, China

Dr. Alex W. C. TSE is currently a Lecturer at Academic Unit of Mathematics, Science, and Technology, Faculty of Education, The University of Hong Kong (HKU), mainly responsible for teaching, research and projects of e-learning, STEM education, critical thinking and assessment for learning. He has been serving as a PISA 2025 project member (specialized in the domain of Learning in the Digital World) and a programme committee member for the Master of Science in Technology, Design and Leadership for Learning at HKU. Dr. Tse has published more than 60 refereed journal or conference papers, serving as a manuscript reviewer of various academic journals, such as IEEE Transactions on Learning Technologies, Educational Technology & Society, Education Sciences, Research and Practice in Technology Enhanced Learning, Frontiers in Education and International Journal of Science and Mathematics Education etc. He also has been invited speaker at various international academic conferences about e-learning, STEM education or/and education innovations, like ICETC2022, CSTE2023, ICETC2023 and ICEMI2023 etc., acting as a programme committee co-chair, programme member or/and reviewer of more than 20 academic conferences in e-learning or/and STEM education. He has been serving as (permanent) Council Member (previously Secretary-General) of the Chinese Society for Inquiry Learning since 2009.





Assoc. Prof. Di Sun
Dalian University of Technology, China

Di Sun, Associate Professor at the Graduate School of Higher Education, Dalian University of Technology, specializes in artificial intelligence in education, educational big data, and quantitative research. She earned a Ph.D. and M.S. in Instructional Design from Syracuse University and bachelor’s and master’s degrees in Educational Technology from Beijing Normal University. Dr. Sun has been a Research Fellow at the Open University of China and a Visiting Scholar at the University of Pennsylvania. Her research focuses on integrating AI into education to drive innovation, supported by numerous national and international research projects. She has published extensively in high-impact journals and served as a peer reviewer for conferences and academic publications. With prior roles as R&D Manager and Training Head at CNKI, she combines academic expertise with industry experience. At Dalian University of Technology, she mentors students, fostering their growth as future leaders in educational technology and innovation.





Assoc. Prof. Zhi Liu
Central China Normal University, China

Zhi Liu is an associate researcher and doctoral supervisor at the National Engineering Research Center of Educational Big Data, Central China Normal University. His research focuses on learning analytics and educational data mining. A former guest researcher at Humboldt University of Berlin, he is an expert in National Graduate Education Evaluation, a reviewer for the National Natural Science Foundation and Hubei Science and Technology Department, and a leader of key National Science and Technology Innovation 2030 projects. He is a guest associate editor for Frontiers in Artificial Intelligence and serves on the editorial board of Discover Education. Dr. Liu has published over 50 SCI/SSCI-indexed papers, including five ESI highly cited works, in top journals such as Computers & Education and The Internet and Higher Education. His awards include Hubei’s Teaching Achievement First Prize (2022), the Chinese Association of Automation’s Special Prize (2020), and IGI Global’s Research Excellence Award (2019).





Asst. Prof. SeJung Kwon
Emory University, USA

SeJung Kwon, PhD, is a Learning Systems Scientist and Assistant Professor at Emory University's Nell Hodgson Woodruff School of Nursing. She holds MEd and PhD degrees in Learning, Design, and Technology from the University of Georgia, where she also completed postdoctoral training before continuing her research at Emory. Her work focuses on enhancing problem-solving, clinical reasoning, and emotional regulation in health professionals through advanced technologies such as VR, biofeedback, and data science. Dr. Kwon is a faculty member at Emory’s Center for Data Science and the CDC-funded Injury Prevention Research Center. She has also contributed to interdisciplinary research at UGA's RAIL lab and the NIH-funded Georgia CTSA. Dr. Kwon’s publications span health professions education, including competency-based systems and professional development for clinical research coordinators, as well as injury prevention and safety education using virtual reality to improve learning outcomes and reduce risky behaviors.





Asst. Prof. Xiaohong Zhang
Kansai University, Japan

Xiaohong Zhang is currently a Specially Appointed Assistant Professor at Kansai University, specializing in Educational Technology. She earned her Ph.D. from the Graduate School of Informatics at Kansai University as an international student, contributing to a China-Japan collaborative research project on fostering logical thinking in children. Her doctoral research analyzed the professional growth processes of teachers in Guangzhou and Foshan, China, who utilized thinking tools.She is adept at integrating innovative qualitative research methods into teaching design, learning environment development, and instructional materials aimed at enhancing logical, critical, and creative thinking. Her research has received numerous accolades, including the Best Paper Award and Excellent Paper Award at the International Conference of Blended Learning, as well as the International Pioneer Award from the Japanese Association of Qualitative Psychology, among others. Her contributions have been widely recognized in academic circles both in Japan and internationally.





Prof. Spencer Benson
Education Innovations, Macau, China

Prof. Benson, a graduate of the University of Vermont (B.A. in Zoology) and the University of Chicago (Ph.D. in Genetics), has over 20 years of leadership in faculty development, learning enhancement, and curriculum reform. He is a Carnegie Fellow (2001–2002) and the 2002 US-CASE-Carnegie Maryland Professor of the Year, with awards including the ASM Carski Teaching Award (2011), University of Maryland Regents Teaching Award, and Life Sciences Excellence in Teaching Award. Prof. Benson also served as chair of the ASM Undergraduate and International Education Committees. As a Fulbright Scholar (2008–2009) in Hong Kong, he contributed to GE and 3-3-4 education reform and has directed Teaching and Learning Centers in the U.S. and Macau. His work spans Asia, often collaborating with the United Board for Christian Education. His expertise includes faculty development, STEM pedagogies, OBE, accreditation, and mentorship. Prof. Benson has published over 50 articles, organized global meetings on education, and taught face-to-face and online courses across Asia and the U.S.





Asst. Prof. Lili Zhang
Sichuan Normal University, China

Lili Zhang is an assistant professor at Sichuan Normal University. She has a Ph.D. in Instructional Design, Development & Evaluation (IDD&E) from Syracuse University. Her research interests include instructional technology integration, instructional design, and edutainment. She has published many journal articles and presented at national and international conferences with a focus on integrating technologies to improve student engagement. Dr. Zhang teaches courses on instructional technology and instructional design.





Dr. Xiaoxu Liu
Jiangsu University, China

Dr. Xiaoxu Liu, Lecturer at the School of Teacher Education, Jiangsu University, earned her Ph.D. in Education from the University of Helsinki in 2023. Her research spans teacher education, multicultural and comparative education, and equity in education, with a focus on ethnic minority experiences in Chinese higher education. Her doctoral research examined ethnic minority experiences in Chinese higher education, resulting in publications in top journals and contributions to works like Finland’s Famous Education System. Dr. Liu has been participated in international projects on racism and migrant education funded by the Finnish Ministry of Education and Erasmus+. Dr. Liu has served as a visiting researcher at the Nordic Institute of Asian Studies and Queen’s University Belfast. A regular presenter at global conferences, she is committed to advancing teacher education and promoting social justice. Her work bridges policy and practice, enriching the discourse on multiculturalism and equity in education systems worldwide.