The Hong Kong Polytechnic University
Prof. Zou Di is an Associate Professor in the Department of English and Communication and the Faculty of Humanities at The Hong Kong Polytechnic University. She holds a PhD in English from City University of Hong Kong and a TESOL certificate from Trinity College London. Her research expertise lies in educational technology, language education, computer-assisted language learning (CALL), game-based language learning, and artificial intelligence (AI) in language education. With a strong research focus on educational technology in language education, Professor Zou has led and collaborated on over 20 research projects. She has published more than 220 research papers, primarily in SSCI- and Scopus-indexed journals, including Computers & Education, British Journal of Educational Technology, Computer Assisted Language Learning, Language Learning & Technology, and Systems. Her work has had a significant impact in the field, with a Google Scholar citation count of 11939 (as of July 2025), an h-index of 52, and an i10-index of 107. She has been recognized as one of the World's Top 2% Scientists by Stanford University for four consecutive years (2021–2024). Several of her papers in Computers & Education and Computer Assisted Language Learning rank among the Most Cited Articles in their respective journals. Professor Zou's contributions to teaching and research have earned her numerous awards. She has received the Excellent Paper Award from the International Conference on Blended Learning and the International Conference on Open and Innovative Education. Her innovative teaching projects have been recognized internationally, winning the Gold Medal and Special Awards at the International Invention Innovation Competition in Canada (iCAN) and the Silver Medal at the International Innovation and Invention Competition (IIIC) in Taiwan. Beyond her research and teaching achievements, Professor Zou plays an active role in academic publishing. She serves as an Associate Editor for Computer & Education (SSCI IF=8.9), Computers & Education: X Reality, and previously for the Australasian Journal of Education Technology (SSCI IF=4.1) (2021–2022). She is also an editorial board member for Education Technology & Society (SSCI IF=4.7) and the International Journal of Mobile Learning and Organisation. Additionally, she has led special issues for several prestigious journals, including Computers in Human Behavior (SSCI IF=9.0), Systems (SSCI IF=4.9), Education Technology & Society (SSCI IF=4.7), and Computers & Education: Artificial Intelligence (Scopus CiteScore=16.8). Professor Zou’s extensive research, editorial contributions, and dedication to technological advancements in language education continue to shape the field and inspire scholars worldwide.
Macao Polytechnic University, China
Prof. Song-Kyoo (Amang) Kim (Senior Member, IEEE) received the M.S. degree in computer engineering and the Ph.D. degree in operations research from the Florida Institute of Technology, in 1999 and 2002, respectively. He is currently an Associate Professor of computing program with the Macao Polytechnic University. He used to be an Associate Professor of several United Arab Emirates universities. Before moving to the Gulf Region, he was a Core Faculty Member of the Asian Institute of Management, providing courses in technology, innovation, and operations. Before his academic career, he was a Technical Manager with the Mobile Communications Division, Samsung Electronics, for more than ten years and mainly dealt with technology management in the information technology industry. He has been an Invited Speaker at many international conferences concerning technology management, innovation process, operations research, and data sciences.
The University of Hong Kong
Li fang ZHANG is Professor of Psychology
and Education in the Faculty of Education at The
University of Hong Kong. She has been chairing the
University’s Human Research Ethics Committee since
2020, was Associate Dean (Research Higher Degrees)
(2007–2010), and led the Division of Learning,
Development, and Diversity (2013–2019).
A world-renowned authority on intellectual styles,
Professor Zhang has also conducted research and
published papers in other academic domains,
including giftedness, creativity, student
development in higher education, teacher education,
and the academic profession. Professor Zhang has
(co)authored nearly 160 peer reviewed international
journal and encyclopedic articles and has published
numerous academic book chapters and books, including
two single authored monographs with Cambridge
University Press – The Malleability of Intellectual
Styles (Zhang, 2013) and The Value of Intellectual
Styles (Zhang, 2017). She is editor in chief of the
Oxford Encyclopedia of Educational Psychology and an
associate editor of Educational Psychology. She also
serves as a consulting editor for the Journal of
Educational Psychology and sits on several editorial
boards in psychology and education, including
Educational Psychology Review and Thinking Skills
and Creativity. She has also served as an ad hoc
reviewer for over 50 peer-reviewed international
journals, including Cognition and Instruction,
European Journal of Personality, Higher Education,
Learning and Instruction, Learning and Individual
Differences, Personality and Individual Differences,
and Psychological Bulletin.
National Institute of Technology, Asahikawa College, Japan
Hisayuki Sasaoka received his Ph.D. in Engineering from the Graduate School of Engineering, Hokkai-Gakuen University in 2000. From April to September 2000 he was a postgraduate at the Graduate School of Engineering, Hokkaido University. He then served in the Department of Electronics and Computer Engineering at the National Institute of Technology (Asahikawa KOSEN), Japan, starting from October 2000 until March 2025. Since April 2025 he has been a Professor (Thailand KOSEN) at the National Institute of Technology Headquarters (Japan) and a visiting professor at King Mongkut’s University of Technology Thonburi (Thailand). His research interests include e-Learning, Artificial Intelligence, Natural Language Processing, Machine Learning, and Machine Translation.
Visiting Assistant Professor at Villa College, Maldives
Dr Asim holds a PhD from the Australian National University, Canberra where he researched on the application of TQM in public sector organisations. His Master's Degree is from the California State University Sacramento USA. Dr Asim served in London between 2022 to 2025 as a Senior Lecturer at the University of Wales Trinity Saint David London. In this capacity Dr Asim also headed the DBA program acting as Program Manager, and his responsibilities included teaching doctoral students and research supervision, convening examiners and Charing the viva voce. Dr Asim’s previous teaching experience was at the College of Technology London. Currently he is a Visiting Assistant Professor at Villa College in the Maldives where he teaches the MBA modules of the University of West of England – Bristol Business School.
Abstract: Public sector organizations have traditionally been viewed as lethargic in addressing the needs of customers/citizens. Human intervention in the public sector procurement processes leading to irregularities and use of discretionary powers have been identified as conventional aspects of public sector organisations in a host of countries. Interestingly, these irregularities have in fact been the primary justification for the advocacy of digital platforms and AI in public sector institutions. This research hence is primarily focused on two segments. The first is the review of rhetoric presented by the public sector globally and, the second segment focusses on views of public sector officials and researchers in selected countries to ascertain the uptake of digital platforms. Because of the nature of this research, a qualitative approach has been used, distributing survey questionnaires though academic contacts in 6 countries in Europe, Africa and Asia. The findings reflect the broad adoption digital platforms with a focus on the use of widely available AI platforms. A majority has adopted tailored applications for the delivery of services such as education student loans and e-commerce and public procurement. A majority has responded positively to the questions of improved speed, efficiency and accessibility of services. Customers and service recipients have expressed positive change. Much of the challenges focussed on raising awareness and the need for AI training, limited funding, and internet availability and AI-digital skills gaps. An interesting finding has been a response on lack of human contact especially where public sector is involved. While AI can improve efficiency and speed up services, some citizens—especially older adults or those with limited digital skills—still prefer speaking with a real person. Complex or sensitive concerns also often require empathy, judgment, and personalized assistance that technology cannot fully replace. As stated by one respondent “the challenge is finding the right balance between automation and maintaining accessible, human-centered public services".
University of Glasgow, UK
Prof. Kelum Gamage (BSc, PhD, PgCAP, CEng, PFHEA, FIET, FRSA, SMIEEE) is a Full Professor in the James Watt School of Engineering at the University of Glasgow and a winner of the University of Glasgow Teaching Excellence Individual Award (2020/21). He is the Learning & Teaching Enhancement lead of the College of Science and Engineering and the Co-Director of the Centre for Educational Development and Innovation. Prof. Gamage has authored over 200 peer-reviewed articles, where he is the lead editor of "The Wiley Handbook of Sustainability in Higher Education Learning and Teaching" (ISBN: 978-1-119-85283-4) and also the Editor-in-Chief for the STEM Education Section of the Education Sciences Journal (Publisher: MDPI, Switzerland, ISSN 2227-7102). He is a Principal Fellow of the Higher Education Academy (PFHEA), a Chartered Engineer (CEng) of the Engineering Council (UK), a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Royal Society of Arts (FRSA) and a Senior Member of the Institute of Electrical and Electronics Engineers (SMIEEE).
Hong Kong Metropolitan University, Hong Kong
Dr. Hilary Ng is an Assistant Professor
in the School of Education and Languages at Hong
Kong Metropolitan University. Her research expertise
spans social psychology, cross-cultural psychology,
educational technology, and educational science,
with a particular focus on how educational
environments, technologies, and social contexts
shape learning, human development, and well-being.
She employs qualitative, quantitative, and big-data
approaches to examine the behavioral, cultural, and
contextual factors that influence human and
educational outcomes, helping to inform the design
of equitable and responsive learning ecosystems in a
rapidly changing world.
Her research has explored topics including
technology-enhanced learning, first-generation
student equity, constructivist pedagogy, learning
goals, cultural intelligence, self-views, worldview
beliefs, and coping strategies across diverse
contexts. More recently, she has focused on the
opportunities and challenges associated with
artificial intelligence in education, including
issues of equity, inclusive practice, assessment,
and responsible implementation. Her work has been
published in leading international journals,
including Journal of Research on Technology in
Education and International Journal of Intercultural
Relations.
Dr. Ng is actively engaged in international research
collaboration and academic service, presenting at
conferences worldwide and serving on scientific,
technical, and organizing committees. She also
serves as an editor for three Q1 journals and one Q2
psychology journal, supporting interdisciplinary
scholarship and advancing the Science of Learning
through knowledge exchange across education and
psychology.
Abstract:
Artificial intelligence is rapidly
becoming part of teaching, assessment, and
student-support systems across education. However,
educational opportunities remain unevenly
distributed, and the benefits of AI are unlikely to
be shared equally. As AI becomes embedded in
educational practice, questions of access,
inclusion, and educational opportunity become as
important as questions of technical capability. This
presentation discusses AI not simply as a new
category of educational software, but as technology
whose educational impact is shaped by context.
Drawing on an ongoing research program in
technology-enhanced learning, first-generation
student equity, inclusive education, and
AI-supported assessment, it explores how contextual
conditions may shape the opportunities and risks
associated with AI. The presentation highlights that
even highly effective AI-enhanced technologies may
produce different outcomes across learners,
educators, and educational settings. While evidence
can demonstrate what AI does, it cannot fully
explain the social, cultural, and institutional
factors that shape how its benefits and risks are
experienced. Professional judgment, therefore,
remains essential in ensuring that AI is used in
ways that support equitable and inclusive
educational opportunities. It argues that AI should
complement rather than replace professional
judgment, and that its educational value should be
evaluated in relation to context, evidence, and
institutional accountability.