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.