Organised by Teaching and Learning Innovation Centre (TALIC)
Details of the Event:
Date : 3, 10, 24 & 31 Oct 2024 (Thu)
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Abstract
To support HKU teachers in exploring the integration of Generative Artificial Intelligence (GenAI) in teaching, learning and assessment, TALIC will be hosting a series of discussion forums in October 2024 to encourage institutional-wide dialogue about effective GenAI practices in the classroom. Academics from different faculties and departments are invited to share their experiences, success stories and setbacks in their GenAI journeys. From the discussion forums, participants can learn about how various GenAI tools could be leveraged to support lesson preparation, student learning, assignment grading and other aspects related to teaching, learning and assessment. Participants are also welcome to raise questions about GenAI application and express views on the direction of GenAI development at HKU.
[3 Oct 2024] Session 1
Date : 3 Oct 2024 (Thu)
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
- Dr. Law Ka Ho, Associate Head (Teaching & Learning) & Lecturer, Department of Mathematics, Faculty of Science, HKU
- Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
- Dr. Evan Pickett, Lecturer, Faculty of Science, HKU
Facilitators :
- Dr. Jessica To, Lecturer, TALIC, HKU
- Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
The Use of AI in the Teaching, Learning and Assessment of Mathematics
About the Speaker
Dr. Law is currently the Associate Head (Teaching and Learning) of Department of Mathematics, HKU. He has been involved in a number of teaching initiatives such as implementing flipped classroom in mathematics courses. He is a Senior Fellow of Advance HE and winner of the Award for Teaching Excellence of the Faculty of Science in 2021/22.
Supporting GenAI Projects in Teaching and Learning
About the Speaker
Dr. Carson Hung is a Lecturer / E-learning Technologist at TALIC, specialising in leveraging cutting-edge technologies such as AR/VR, AI, and games to enhance student engagement. With extensive experience in EdTech projects, he is passionate about using innovative solutions to enhance students’ learning experience.
Teaching the Limits of GenAI: Student Reviews of ChatGPT Articles as a Form of Assessment
About the Speaker
Dr. Evan Pickett is a Lecturer in the Faculty of Science who teaches multiple Common Core courses in the Science, Technology and Big Data AoI and the Biostatistics course for the School of Biological Sciences.
[10 Oct 2024] Session 2
Date : 10 Oct 2024 (Thu)
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
- Dr. Jack Tsao, Associate Director / Senior Lecturer, Common Core Office, HKU
- Ms. Stephanie Biedermann, Senior Lecturer, Faculty of Law, HKU
- Prof. Alain JF Chiaradia, Honorary Associate Professor, Department of Urban Planning and Design, Faculty of Architecture, HKU
Facilitators :
- Dr. Jessica To, Lecturer, TALIC, HKU
- Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
Artificial intelligence in transdisciplinarity and the making of the ecological university
About the Speaker
Dr. Jack Tsao is experienced in social impact, experiential learning, and project-based initiatives. He is interested in exploring transdisciplinarity, educational futures, and pedagogical innovations through games, storytelling, and digital and artificial intelligence technologies.
Teaching Legal Writing in the Age of AI
About the Speaker
Ms. Stephanie Biedermann is a Senior Lecturer in the Faculty of Law and is a US-licensed lawyer. She specializes in international law, immigration, forced migration, and discrimination issues, particularly for refugees, asylum-seekers, and migrant workers. Her legal experience includes work in the US, the Middle East, and Hong Kong, with a focus on public interest law and access to justice issues.
Harnessing AI for Research Proposals in Urban Design and Transport: Insights from constructing Research Questions and research proposal
About the Speaker
Professor Alain Chiaradia is Associate Professor and Deputy Head at the University of Hong Kong’s Department of Urban Planning and Design in the Faculty of Architecture. His specialism lies in network-based morphometrics and design thinking to explore urban design and transport’s health, social, economic, and environmental impacts. In International Research Excellence Assessments 2014 and 2020 RAE, his applied research has been internationally recognised as having “outstanding impacts in terms of their reach and significance”.
[24 Oct 2024] Session 3
Date : 24 Oct 2024 (Thu)
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
- Dr. Michael B. C. Rivera, Lecturer, Interdisciplinary Studies, Faculty of Social Sciences, HKU
- Dr. Sheryl Chow, Research Assistant Professor, Department of Music, Faculty of Arts, HKU
- Dr. David Villena, Assistant Lecturer, Department of Philosophy, Faculty of Arts, HKU
Facilitator : Dr. Jessica To, Lecturer, TALIC, HKU
The Human Touch: Balancing AI Usage with Expertise, Education and Engagement
About the Speaker
Dr. Michael Rivera is a Lecturer in Interdisciplinary Studies at HKU’s Faculty of Social Sciences. He teaches a broad range of courses on anthropology, archaeology, biology and environmental wellbeing, both within his faculty and for the Common Core Curriculum. He is currently engaged in pedagogical research projects looking into care-based and social justice-oriented education, as well as the effectiveness of online tools for course design.
Developing Critical Thinking: ChatGPT’s Answer as Question Material and Bad Assignment Example
About the Speaker
Dr. Sheryl Chow is a fellow of the Society of Fellows in Humanities and affiliated with the Department of Music. She received her PhD in Musicology in 2023 from Princeton University. She published a journal article in Early Music History, which discusses the transmission of European music theory to China in the late seventeenth century. She also wrote a book chapter on the re-essentialization of microtonal tuning in twenty-first-century traditional Chinese music, published in Of Essence and Context (Springer, 2019).
Deepfakes, synthetic audio and conversational agents as teaching and learning tools
About the Speaker
Dr. David Villena teaches “The Philosophy of AI” in the current academic term and taught “The Ethics and Philosophy of Digital Technologies” in 2023/24. He works for the Master’s in AI, Ethics and Society at HKU and has extensive experience designing and facilitating courses on public sector ethics for civil service officials. More information about Dr. Villena is available on his website.
[31 Oct 2024] Session 4
Date : 31 Oct 2024 (Thu)
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
Time : 12:30pm – 1:45pm (HKT)
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
- Dr. Vincent Tam, Principal Lecturer, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
- Dr. Albert Lee, Lecturer, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
- Ms. Carly Ng, Lecturer, Centre for Applied English Studies, HKU
- Mr. Patrick Leung, Lecturer, Centre for Applied English Studies, HKU
- Dr. Alex Tse W. C., Lecturer, Academic Unit of Mathematics, Science and Technology, Faculty of Education, HKU
Facilitator : Dr. Jessica To, Lecturer, TALIC, HKU
Sharing Session 1
Introducing Generative-AI Chatbot Powered by Student-in-the-Loop Knowledge Base to Enrich Teaching and Learning
About the Speakers
Dr. Vincent Tam is a Principal Lecturer in the Department of Electrical and Electronic Engineering, Faculty of Engineering. He was awarded with the Faculty Best Teacher Award (2010, 2017 & 2022), Faculty Outstanding Teaching (Team) Award (2013 & 2019), and the Fellowship (FHEA) of the AdvanceHE (2019).
In 2014, Dr. Lee joined the University of Hong Kong (HKU) as a Research Associate and Post-doctoral Fellow. In 2020, he became a full-time Lecturer with the Department of Electrical and Electronic Engineering. He received the Faculty Outstanding Teaching Award (Team Award) – Teaching Innovations in E-learning 2023-24.
Sharing Session 2
The Use of GenAI in the Teaching and Learning of Academic English Writing
About the Speakers
At CAES, Ms. Carly Ng currently teaches a range of English enhancement courses, including English-in-the-Discipline courses, for undergraduate students. Her research interests revolve around inter-cultural communication, higher education studies, and higher education evaluation.
At CAES, Mr. Patrick Leung mainly teaches English-in-the-Discipline courses for undergraduates from a range of disciplines. His main research interests include corpus linguistics, language assessment, and Content and Language Integrated Learning (CLIL) / Language Across the Curriculum (LAC).
Sharing Session 3
Use of GenAI in ongoing formative assessment to facilitate seamless learning
About the Speaker
Dr. Alex W. C. Tse is the Programme Director of the Master of Science in Technology, Design and Leadership for Learning, Faculty of Education, HKU, responsible for research, teaching and projects of e-learning, STEM education, and assessment for learning etc. He is a PISA2025 project member (https://pisa.hku.hk/). Webpage: https://web.edu.hku.hk/faculty-academics/awctse
For information, please contact:
Ms. Canice Mok, TALIC
Phone: 3917 6069; Email: tsmok@hku.hk
