ICGAL 2025
Keynote Speakers
Keynote:
Knowledge Overlord: A self-sustaining AI game-based online platform to enhance Student’s literacy ability and 21st century skills
Professor Chu, Kai Wah Samuel, Department of Health Sciences, School of Nursing and Health Sciences, Hong Kong Metropolitan University
Abstract:
Reading is the basis for most learning. One way to help students enhance reading abilities is to have them go through reading comprehension exercises, especially the interesting ones. In the past several decades, a number of systems have been constructed to automate these reading comprehension exercises, and assessments for students. The bottleneck is in the creation questions, especially the higher order thinking questions as described in PIRLS reading assessment framework including inference, interpretation, integrating ideas and evaluation. It takes a lot of good effort from humans to create high order thinking questions. With GenAI, humans can potentially use AI tools to create questions and answers faster and with better quality.
In this talk, I will first give an overview on the kinds of data contained in reading-related database(s), and the challenges faced by the data creator before GenAI. I will then share our experience on how we now collaborate with GenAI in creating the questions and answers. Our pilot study indicated that GenAI now can actually create higher-order thinking questions almost as good as humans. Implication of this talk is that various forms of data may be created at a much enhanced speed and at a higher quality with GenAI.
Bio:
Professor Chu, Kai Wah Samuel obtained 2 PhDs in Education – one focusing on e-Learning from University College London in the UK and another one focusing on Library and Information Science from The University of Hong Kong (HKU). He is a multidisciplinary researcher/professor in 4 disciplines - e-Learning, Information Science, Health Sciences and Early Childhood Education. He has been involved in over 80 research projects with a total funding exceeding 11 million USD. He has published more than 500 articles and books, with 140+ of them appearing in peer-reviewed international academic journals.
Prof. Chu ranked among the top 0.46% of scholars in Information & Library Sciences in 2021, ranked 60 out of 12,940 scientists in the field worldwide - A study by Stanford University. He has received many awards including the Faculty Outstanding Researcher Award in 2013, Faculty’s Knowledge Exchange Award in 2016 and Excellent Health Promotion Project Award from Food and Health Bureau in 2017 and the China New Development Award (for a book on AI literacy) from Springer Nature in 2023. He achieved an h-index of 57 over the years.
He is a member of the “Humanities and Social Sciences Panel (Joint Research Schemes)” of the Research Grants Council of Hong Kong / RGC (2023 – 2025) and was a member of the “Humanities and Social Sciences Panel” of RGC (2016-2022). Prof. Chu has been a consultant for UNESCO Bangkok, Education Bureau in HK, Oxford University Press, Pearson Education Asia, and was the ASIS&T Director of Chapter Assembly (2020-2021). Starting in 2015, Professor Chu has been an Advisor for EdTech and eHealth startups and in 2020, he founded a non-profit organisation called Academy 22 Education for All Foundation Limited.
Keynote:
Empowering Education with AI: Preparing for the Future of Learning and Work
Dr. Thomas Chiu, Associate Professor of Digital and STEM Education (from August 1, 2025), The Chinese University of Hong Kong; Associate Director, Centre for University and School Partnership; Associate Director, Centre for Learning Sciences and Technologies.
Abstract:
AI impacts education in two areas: AI education and AI in education. AI education focuses on teaching about AI, while AI in education involves utilizing AI to support learning and teaching. Incorporating AI technology and topics into education not only helps youngsters understand what AI technologies are and how they work, but also prepares them for future workplace demands. However, understanding how AI can be effectively integrated into educational settings remains in its early stages. In this talk, the speaker will present the key findings of his empirical investigations on how AI CRAFT education, as well as future research directions for practices and policy.
Bio:
Dr. Thomas CHIU is an Associate Professor of Digital and STEM Education (from 1 August, 2025) at The Chinese University of Hong Kong, as well as the Associate Director of the Centre for University and School Partnership and the Centre for Learning Sciences and Technologies. He has extensive experience in school teaching and leadership, while also recognized as one of the top 2% most cited scientists in education by Stanford University. He currently serves as a co-editor of interactive learning environments and an associate editor of three international SCCI journals. His recent book, Empowering K-12 Education with AI: Preparing for the Future of Education and Work, reflects his commitment to and expertise in AI education.
Keynote:
Human centric intelligence in Industry 5.0: what skills do university graduates really need?
Dr Christine O’Dea, Senior Lecturer in Management and Technology Education, King's College London, United Kingdom; Co-Editor-in-Chief, Artificial Intelligence in Education
Abstract:
Industries globally are transitioning from Industry 4.0 to Industry 5.0. The focus is then shifting from reducing human involvement using disruptive technologies such as AI to human-machine/technology collaboration. In this context, it is important to understand how disruptive technologies are integrated in industries, and the impact on jobs requiring low, middle and high skills. As a result, higher education institutions can react accordingly and support students to develop specific skills and componentises needed for Industry 5.0.
Bio:
Xianghan (Christine) O’Dea is a Senior Lecturer (Associate Prof.) at King's Business School, King's College London. Her research focuses on AI in education (AIEd), with a particular focus on Generative AI and AI literacy; digital transformation and digital education.
She has published her research in high-impact journals, such as Studies in Higher Education, British Journal of Educational Technology, and Fudan Journal of the Humanities and Social Sciences. She has also published featured articles regularly in prestigious media, such as Times Higher Education and Wonkhe. Currently, Christine is Co-Editor-in-Chief of AI in Education (An Emerald Open Access Journal), and academic chair of AI knowledge hub at Circle U (European University Alliance).
Her recognized expertise in AIEd has led to numerous invitations to deliver keynotes, workshops and seminars at the (inter) national level, including prestigious organizations, such as QAA, Society for Research Into Higher Education (SRHE) and Centre for Global Higher Education (CGHE).
Honorary Chair / Honorary Committee
Dr. Levente Kovács, Rector, Full Professor at Obuda University; Head of Physiological Controls Research Center, ERC StG Laureate; IEEE Senior Member; IEEE Systems, Man, and Cybernetics Society Board of Governors Member; IEEE SMC Hungary Chapter Chair; IEEE Control Society Hungary Chapter Chair; IEEE Hungary Section Past Chair; John von Neumann Computer Society President.
Bio:
Levente Kovács, Rector of Obuda University, is a leading expert in modern control theory and physiological controls. He holds MSc degrees in electrical and biomedical engineering, a PhD, and a DSc from the Hungarian Academy of Sciences (2024). With over 500 publications, an impact factor exceeding 200, and 4500+ citations, he is among Stanford’s top 2% most-cited researchers. He founded the Physiological Controls Research Center at Obuda University and has chaired multiple IEEE chapters, including the IEEE SMC Hungary Chapter and Control Society Hungary Chapter. He received the ERC Starting Grant (2015) for research on personalized tumor control and the Dennis Gabor Award (2022). He holds honorary titles from universities in Romania, Slovakia, and Hungary, reflecting his global impact in research and education.
ICGAL 2025
Invited Speakers
Invited Speaker:
Dr. CHENG, Wing Kin
Lecturer, Department of Education, School of Education and Languages, Hong Kong Metropolitan University
Abstract:
The swift advancement of artificial intelligence (AI) has significantly impacted multiple fields, including education. In this context, AI is reshaping conventional teaching and learning practices by introducing innovative approaches that enrich educational experiences. Specifically, mathematics teachers can utilize AI to create tailored learning materials, streamline the preparation of instructional resources, and facilitate the resolution of complex mathematics problems. This technology not only aids in personalizing learning experiences for students but also provides educators with critical insights into student performance, ultimately enhancing the overall effectiveness of mathematics instruction.
In the talk, we will explore the practical applications of various AI-powered tools, including Poe, Copilot, Thetawise, Wolfram Alpha, Mathpix, Magic School, and Websim AI for mathematics teachers. While familiarizing themselves with these tools is beneficial, it is important to note that simply using them does not guarantee an improvement in teachers' pedagogical effectiveness. However, the inteeplay between these AI-powered tools can certainly enhance teaching practices by increasing efficiency in preparing learning and teachingmaterials, accommodating diverse learner needs, and strengthening teachers' abilities to tackle complex mathematics problems.ms of data may be created at a much enhanced speed and at a higher quality with GenAI.
Bio:
Dr. CHENG, Wing Kin is a Senior Lecturer in the Department of Education, School of Education and Languages, Hong Kong Metropolitan University. He is now serving as the the overseas director of the International Society for the Advancement of STEAM education, vice-internal president of the Hong Kong Association for Mathematics Education (HKAME), expert panel member and adjudicator of the Hong Kong Mathematics Creative Problem Competition for Primary Schools and for Secondary School, and the adjudicator of The Hong Kong Creative Maths & Science 4D Frame Competition. He has strongly background in Mathematics and STEAM education. Dr. CHENG Wing Kin is actively involved in research studies since joining HKMU in 2024. He has been granted the HKMU R&D fund on a research project “Advancing AI on teaching secondary mathematics in Hong Kong”. He was invited to deliver talks and seminars. His research interest includes AI in Education, Mathematics Education, STEAM education, Learners’ Agency, etc.
Invited Speaker:
Exploring Students' Artificial Intelligence Literacy in Science Education: A Teachable Machine Approach to Recognize Metal Ions via Flame Test.
Mr. Eagle Chan (Left)
Founder of iSTEM AI Lab, a collaborative initiative supported by the Hong Kong University of Science and Technology (HKUST) and Hong Kong Cyberport.
Dr. Davy Tsz Kit Ng (Right)
Assistant Professor, Education University of Hong Kong
Abstract:
Existing studies primarily focus on integrating AI education into computer science curricula, with limited attention to its integration into science lessons. However, AI has been extensively utilized in various scientific industries, including chemistry. This study investigates the potential of incorporating AI into science teaching by employing a mixed-method approach involving 65 students from Grade 9 and Grade 11. Students conducted flame tests to recognize metal ions using machine learning models developed with Teachable Machine. Results demonstrated a positive impact on students' AI literacy and meaningful AI-assisted science learning. This study highlights the potential of AI in science classrooms and offers guidance to educators on developing effective AI-assisted scientific experiments.
Mr Eagle Chan's Bio
Mr. Eagle Chan is the founder of iSTEM AI Lab, a collaborative initiative supported by the Hong Kong University of Science and Technology (HKUST) and Hong Kong Cyberport. A fully licensed teacher in both Hong Kong and Vancouver, Eagle holds a Bachelor's degree in Computer Engineering from the Chinese University of Hong Kong (CUHK) and a Master of Education from the University of Hong Kong. He furthered his education by pursuing an MPhil in Technology Leadership and Entrepreneurship at HKUST.
With a robust academic foundation and expertise at the intersection of technology and education, Eagle is committed to driving innovation and advancing knowledge in these fields, ultimately contributing to the synergy of technology, leadership, and entrepreneurship.
Dr Davy Ng's Bio
Dr. Davy Tsz Kit Ng is an Assistant Professor at the Education University of Hong Kong. He earned his PhD in Education from the University of Hong Kong. His academic background also includes a Master of Education in Educational Psychology, a Bachelor of Science in Computer Science, and a Postgraduate Diploma in IT Education from the Chinese University of Hong Kong (CUHK).
Dr. Ng's research focuses on AI literacy, STEM education, and technology-enhanced pedagogical innovation. His work draws on recent studies in AI literacy, STEAM education, and the intersection of education and technological change.
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International Conference on GenAI Literacy:
Multidisciplinary Research and Practice in the Age of GenAI
10-13 June 2025
Budapest, Bécsi út 96/B, 1034, Obuda University
