Professor KONG Siu Cheung
The Education University of Hong Kong
Unleashing Human Potential: An Artificial Intelligence Competency Framework for School Education
For the past six years, The Education University of Hong Kong has pioneered the promotion of Artificial Intelligence (AI) literacy and has begun researching how to integrate AI into school education, committed to nurturing a future-ready generation using an artificial intelligence competency framework. These initiatives aim to equip students with foundational knowledge of AI and the ability to apply AI in their learning. Through curriculum development and teaching practices, our research shows that students can understand that AI is a form of algorithmic intelligence. We are currently conducting pilot studies in Hong Kong primary schools, applying AI to specific learning topics within five subjects: Chinese Language, English Language, Mathematics, Primary Science, and Primary Humanities. Preliminary findings demonstrate that AI can be used in subject learning to drive student thinking. We are developing pedagogical approaches to encourage students to use AI in the classroom, enhancing higher-order thinking skills while valuing the uniqueness of human intelligence. In this presentation, I will focus on how the application of AI in education can unleash students’ potential, thereby consolidating Hong Kong’s leading position in the educational application of AI.
Personal Profile
Professor KONG Siu Cheung is currently a Chair Professor at the Department of Mathematics and Information Technology (MIT) and Director of the Artificial Intelligence and Digital Competency Education Centre (AIDCEC) at The Education University of Hong Kong. He serves as the Editor-in-Chief of Research and Practice in Technology Enhanced Learning (RPTEL) and Journal of Computers in Education (JCE). He is listed as one of the Stanford Top 2% Scientists in Education from 2019 to 2025. Professor Kong leads multiple projects on AI in education and AI literacy for students, teachers, parents, and administrative staff in Hong Kong and France (2020–2028). He is also the programme leader of the Master of Science in Artificial Intelligence for Executive Professionals [MSc(AIEP)] and the Certificate Professional Development Programme (PDP) on Artificial Intelligence in Primary Education.
Professor Feichin Ted Tschang
Singapore Management University
Rethinking Human Advantage in the AI Era: Why Experience Still Matters for Cognition
Advances in large language models (LLMs) have reignited debates about how powerful artificial intelligence is, and whether it can replace many human tasks. However, humans still hold advantages in work settings where judgment, experience, and knowledge matter. My talk starts by summarizing some of the research illustrating differences between human and machine intelligence, and focuses in depth on one key difference: the human experience of the world. In particular, experiencing involves individuals’ attention to contexts, what they find salient, how they interpret meaning, and how purposes evolve over time. One particularly illustrative activity involving these processes is explorative invention, and exemplars are provided. This distinction of human cognition as being “grounded” has implications for knowledge management and organizational work. I discuss the implications for human–AI complementarities, and how the role of human cognition could be reframed to reemphasize human roles at work.
Personal Profile
Feichin Ted Tschang is an associate professor of strategic management in the Lee Kong Chian School of Business at the Singapore Management University. He conducts studies design and innovation processes in contexts such as videogames, virtual worlds and artificial intelligence (AI), and more recently, the cognitive aspects of human-AI interaction. He’s published on innovation in management journals such as Organization Science, and on information systems topics in journals as Management Information Systems Quarterly. He has worked at the Asian Development Bank Institute on software industries and the digital divide, and at the United Nations University. He holds a Ph.D. in public policy and management from Carnegie Mellon University, as well as graduate degrees in electrical engineering and economics.