Artificial Intelligence for Teaching & Learning Workshop by the APRU Global Health Working Group on Education & Technology

Artificial Intelligence (AI) has the potential to revolutionize teaching and improve student learning outcomes. AI innovations can optimize our teaching practices from improved course design to innovative assessment methods. It can transform pedagogical practices and making teaching more efficient, personalized, and accessible. In this webinar designed for faculty, we will feature five expert panelists from Australia, Canada, Hong Kong, and Malaysia who will present specific examples of how they have used AI in their own teaching practices. This session is brought to you by the APRU Working Group on Global Health Education and Technology.

Date & Time: April 25, 2024 at 6:00pm-7:15pm PST/April 26, 2024 at 9:00am-10:15am HKT (75 minutes)

To find your time zone for this event, click here.

Registration: click here.

Speakers:
Irwin King, The Chinese University of Hong Kong
Annie Prud’homme-Généreux, The University of British Columbia
Hassan Khosravi, The University of Queensland
Kria Coleman, The University of Sydney
Lee Yew Kong, Universiti Malaya

Moderators:
Mellissa Withers, University of Southern California
Catherine Zhou, The Hong Kong University of Science and Technology

Certificate of participation provided.

Download a flyer here.

Speakers
Dr. Irwin King
The Chinese University of Hong Kong

Dr. Irwin King is a distinguished scholar in machine intelligence, currently Professor and immediate Past-chair of Computer Science & Engineering at The Chinese University of Hong Kong. He has a broad range of research interests covering areas such as machine learning, social computing, AI, and data mining. He has been honored with various prestigious awards in recognition of his contributions to the field of machine intelligence. Professor King holds a B.Sc. degree in Engineering and Applied Science from the California Institute of Technology (Caltech) and obtained his M.Sc. and Ph.D. degrees in Computer Science from the University of Southern California (USC).

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Dr. Annie Prud’homme-Généreux
The University of British Columbia

Dr. Annie Prud’homme-Généreux was one of the founding faculty of Quest University Canada, where she developed innovative curricula and experimented with diverse pedagogies and assignments. After several years working in administration and leadership in and out of academia, she returned to her passion: designing curricula and teaching undergraduate science courses at the University of British Columbia. She’s engaged in several faculty development initiatives including the design of the OER course Future Facing Assessments that is a primer for educators on what AI is and provides a step-by-step guide for inviting learners to use this tool in their assignments.

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Dr. Hassan Khosravi
The University of Queensland

Dr. Hassan Khosravi is an Associate Professor at The University of Queensland. As a computer scientist by training, Hassan is passionate about the role of artificial intelligence in the future of education. In his research, he draws on theoretical insights from the learning sciences and exemplary techniques from the fields of human-computer interaction to design, implement, validate and deliver technological solutions that contribute to the delivery of learner-centred, data-informed learning at scale. Hassan has received over $5 million in competitive funding and has over 80 peer-reviewed publications.

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Kria Coleman
The University of Sydney

Kria Coleman is Educational Designer in the Educational Innovation team at the University of Sydney. Kria has a background in Social Sciences and Education with three decades of teaching experience in a variety of educational settings. She is passionate about innovative approaches to classroom pedagogies, assessment design, and collaborative learning. Kria is currently undertaking her PhD research in Self-Regulated Learning and Socially Shared Regulation of Learning as student transition to higher education.

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Dr. Lee Yew Kong
Universiti Malaya

Dr. Lee Yew Kong is a Senior Lecturer at the Department of Primary Care Medicine, Universiti Malaya, and Head of the eLearning at the Faculty of Medicine’s UMeHealth Unit. He has worked across a broad range of health topics including diabetes, cancer, genetics, HIV/AIDS, indigenous health and migrant worker health. He leads several eLearning projects including the MyViP@UM virtual patient project which has become a platform for exploring the use of Generative AI in medical education.

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Dr. Mellissa Withers (moderator)
The University of Southern California and Director of the APRU Global Health Program

Dr. Mellissa Withers is Associate Professor and director of pedagogical enrichment at training at the Keck School of Medicine in the Department of Population and Public Health Sciences.  She also directs the Global Health Program of the Association of Pacific Rim Universities, a non-profit network of 60 universities. She received a PhD from the Department of Community Health Sciences at the UCLA Fielding School of Public Health with a minor in cultural anthropology. She also holds a Master’s in International Health from the Johns Hopkins Bloomberg School of Public Health and a BA in international development from UC Berkeley. Her research interests lie in community participatory research, mental health, gender-based violence, immigrant health, and global sexual and reproductive health. Dr Withers is the editor of two books: Global Perspectives on Sexual and Reproductive Health Across the Lifecourse, and Global Health Leadership: Case Studies from the Asia-Pacific (in press).

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Dr. Catherine Zhou (moderator)
The Hong Kong University of Science and Technology

Dr. Catherine Zhou  is a Teaching Associate at the Office of the Dean of Engineering, the Hong Kong University of Science and Technology (HKUST). Prior to this she worked at the Centre for Learning Enhancement And Research at the Chinese University of Hong Kong. She has a PhD degree in computer science and engineering and currently focuses on research postgraduate student education. Her teaching and research interests include research integrity, emotional resilience and intelligence, and mentorship. She is in charge of the research postgraduate student professional development program within the School of Engineering. Catherine is interested in student-centered teaching and learning strategies, such as e-learning, blended learning, flipped classroom, and experiential learning.

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