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AI Training Workshop
Maximizing GenAI for Practical Impact
HKU teachers and staff are invited to an exclusive Reading Week workshop led by Mr. Keith Li—renowned AI expert, acclaimed GenAI instructor, and Chairman of the Hong Kong Wireless Technology Industry Association (WTIA). Drawing on his many invited talks across universities in Hong Kong, Keith will share practical, classroom-ready strategies, tools, and case studies to help you confidently integrate AI into your teaching and tailor it to your specific context.
Step into the world of AI, expand your EdTech toolkit, and explore the latest in educational innovation. Join us to reimagine learning, elevate student engagement, and spark fresh ideas in your classroom.
Video Recordings
Session 1: Getting Started with Generative AI
An accessible introduction to generative AI featuring live demos with ChatGPT, Gemini, Grok, and POE platforms. Learn about large language models (LLMs), context windows, and prompt engineering while exploring practical applications for writing, slides creation, and image generation. The session covers AI strengths, limitations like hallucination, and how to choose between free and paid AI services.
Session 2: Advanced Topics and Content Generation
A hands-on deep dive into advanced AI techniques including retrieval-augmented generation (RAG), context window optimization, and multi-modal AI systems. Explore vibe coding for simulations, long-short term memory concepts, and tools like Ideogram for visual content creation. Learn practical prompt refinement strategies and how to build automated workflows that integrate text, image, and data processing capabilities.Upcoming AI Follow-Up Workshops
GenAI / EdTech for All – A Toolkit Series (Fall 2025)
Date : 22 Oct 2025 (Wed) and more
Time : 12:30pm – 1:45pm
Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)
AI Ethics Video Series
TALIC invited colleagues in the T&L community to share and show examples of how they integrate AI technology and manage associated risks in a series of videos.
Episode 1: Fostering an Ethical and Critical Mind for AI in Higher Education
Brian Tang, Executive Director of the LITE Lab (Law, Innovation, Technology, and Entrepreneurship) at HKU Law School, emphasizes appropriately incorporating AI into coursework and teaching students the “intentional use of AI as a learning companion” to augment critical thinking and problem-solving skills. Brian says he incorporates diverse assessment methods such as reflections, verbal presentations, and peer evaluations, moving beyond traditional essays that AI can easily generate. Addressing the concerns that AI enables students to generate written work too quickly and effortlessly, and the increasing pressure students face from peers using AI undetected, Brian recommends that teachers focus on a mindset shift to encourage students of the benefits of exercising their “mental muscles.
Episode 2: Building the Grey Line: Guiding Ethical AI Use in the Classroom
Professor Cecilia Chan of the Teaching and Learning Innovation Centre (TALIC) addresses a new kind of academic dishonesty known as “AI-giarism,” which generally refers to using AI to create content without crediting original human or AI sources. She emphasizes that a ‘grey line’—a ’morality gap’—exists, where students and educators interpret AI ethics differently. Cecilia advocates for transparency of use, urging students to declare AI use just as they would human sources and encouraging open discussions in classrooms. Cecilia stresses the importance of guiding students on responsible AI use rather than just policing it.
Episode 3: Reimagining Assessments in the Age of AI
To help students use AI responsibly, Dr. Tai Chun John Fung, Sr. Lecturer of the School of Nursing, recommends some practical measures, including requiring students to disclose AI use in their work submitted for assessments. John and his colleagues also integrate AI literacy modules into their disciplinary teaching to help students embrace AI, familiarizing them with authorized AI use, and reminding the students of AI’s limitations, such as hallucinations and bias.
John sees the use of AI as an opportunity to innovate and focus on higher-order skills, including empathy, creativity, and critical thinking, rather than a “shortcut” to request that AI complete written assignments.
Episode 4: AI-Resistant Assignments and Human-Centered Learning Tasks
Nicole Lau, a teacher from the Department of Psychiatry at SClinMed, shares that she designs “AI-resistant assignments” that focus on human-related tasks intended to resist automation. Her assignments may include concept maps, reflective journals, and peer interviews, emphasizing human-centered tasks that draw on students’ own lived experiences. Nicole underscores the importance of embedding clear policies and stresses the need to integrate these policies into the learning process.Episode 1: Fostering an Ethical and Critical Mind for AI in Higher Education
Episode 2: Building the Grey Line: Guiding Ethical AI Use in the Classroom
Episode 3: Reimagining Assessments in the Age of AI
Episode 4: AI-Resistant Assignments and Human-Centered Learning Tasks
Reference:
- Awadallah Alkouk, W., & Khlaif, Z. N. (2024, December). AI-resistant assessments in higher education: practical insights from faculty training workshops. In Frontiers in education (Vol. 9, p. 1499495). Frontiers Media SA.
- Chan, C. K. Y. (2024). Students’ perceptions of ‘AI-giarism’: Investigating changes in understandings of academic misconduct. Education and Information Technologies, 1-22.
- Khlaif, Z. N., Hamamra, B., & Hussein, E. T. (2025). AI Paradox in Higher Education: Understanding Over-Reliance, Its Impact, and Sustainable Integration.
- Overono, A. L., & Ditta, A. S. (2025). The use of AI disclosure statements in teaching: developing skills for psychologists of the future. Teaching of Psychology, 52(3), 273-278.
Harnessing AI for Teaching and Learning Excellence at HKU
TALIC will host a two-day internal conference on 3rd and 4th December 2025 to explore how AI is being used to enhance teaching and learning excellence at the University of Hong Kong. We will learn from teachers and students how they make use of AI in their teaching and studies.
Event: Harnessing AI for Teaching and Learning Excellence at HKU
Date : 3rd and 4th December 2025
Venue : Centennial Campus