Keynote : Co-constructing Data
- Long title
- Co-constructing data by human and Generative AI
- Starts at
- Tue, Oct 22, 2024, 09:00 EDT
- Finishes at
- Tue, Oct 22, 2024, 10:00 EDT
- Venue
- Room A
- Moderator
- Sam Oh
Co-constructing data by human and Generative AI
Reading is the basis for most learning. One way to help students enhance reading abilities is to have them go through reading comprehension exercises with questions, answers. In the past several decades, a number of systems have been constructed to automate these questions, answers and assessments for students. The bottleneck is in the creation of 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 creations. With GenAI, humans can potentially collaborate with these new tools to create questions and answers faster and with better quality. In this keynote, I will first give an overview on the kinds of data contained in reading-related database(s), 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 an enhanced speed and a higher quality with a GenAI.
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Samuel Kai Wah Chu
Department of Health Sciences, Hong Kong Metropolitan University
Dr Samuel Kai Wah Chu is a Professor in the Department of Health Sciences, School of Nursing and Health Studies at the Hong Kong Metropolitan University. Professor Chu completed 2 PhDs in Education – one focusing on e-Learning from University College London, Institute of Education in the UK and another one focusing on Information and Library Science from The University of Hong Kong (HKU). He is an expert in 3 academic areas: (1). Information and Library Sciences (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); (2). Education (especially gamified learning) - Professor Chu won his Faculty’s Outstanding Researcher Award as early as in 2013. HKU was ranked World Number One for Education and Educational Research by the U.S. News & World Report in 2022-2023; and (3). Health Sciences - Professor Chu has published many journal articles in the area of Health Education / Health Literacy in the past 10+ years. Professor Chu has been involved in around 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. Dr. Chu 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 our book on AI literacy) from Springer Nature in 2023. He achieved an h-index of 52 over the years.
Moderator
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Sam Oh
Sungkyunkwan University, Seoul, Korea
Sam Oh is a distinguished professor for global affairs at Sungkyunkwan University, Seoul, Korea, and an affiliate professor at University of Washington iSchool. HIS expertise spans data modeling, metadata design, and ontology design. With funded projects and consultancy for various companies and government sectors, he held leadership roles such as a chair of iSchools, had tenure chairing both TC46/SC9 (Identification & Description) and ISO/IEC JTC1 SC34 (Document Description and Processing Languages). He is the executive director of Dublin Core Metadata Initiative (DCMI), the ambassador of iSchools, and chairs TC46/SC4 (Technical Interoperability).
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