Teaching & Learning Exploration Week 2026
Teaching Exchange Fellowship Scheme Seminar – Closing the Student Feedback Loop: Lessons from the UNSW Student Ambassador Programme
Event Details
Date : 4 Nov 2026 (Wed)
Time : 1:00pm – 2:00pm
Online : Zoom
Speaker : Dr. Enoch Chan, Lecturer, Bau Institute of Medical and Health Sciences Education and the School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, HKU
Facilitator : Prof. Luke Fryer, Assistant Director, TALIC, HKU
Abstract
Student feedback is widely recognised as an important mechanism for enhancing teaching and learning. However, many changes arising from student feedback are implemented only for future cohorts, limiting opportunities for current students to experience the impact of their contributions. During a Teaching Exchange Fellowship visit to the University of New South Wales (UNSW), Dr. Enoch Chan explored the UNSW Student Ambassador Programme and its approach to student partnership in educational enhancement.
In this seminar, Dr. Chan will share insights into how student voice can be translated into timely, visible, and meaningful improvements to the learning experience. Drawing on examples from UNSW, he will discuss strategies for engaging students as partners, establishing responsive feedback mechanisms, and fostering a culture in which students can see tangible outcomes from their feedback while they are still taking a course.
About the Speaker
Dr. Enoch Chan is a Lecturer jointly appointed by the Bau Institute of Medical and Health Sciences Education (BIMHSE) and the School of Biomedical Sciences (SBMS) at The University of Hong Kong. He teaches physiology and biochemistry across multiple undergraduate programmes and designs authentic learning experiences that enhance the relevance of foundational sciences for health professions students. His educational scholarship spans both health professions education and biomedical sciences education, with particular interest in students as partners initiatives.
For information, please contact:
Ms. Canice MOK
Teaching and Learning Innovation Centre- 3917 6069
- tsmok@hku.hk
Teaching Exchange Fellowship Scheme Seminar – Nurturing Lifelong Learning, Personal Development and Reflective Practice in Preclinical Dental Education: Perspectives from King’s College London
Event Details
Date : 29 Oct 2026 (Thu)
Time : 12:30pm – 1:30pm
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Speaker : Prof. Waruna Dissanayaka, Assistant Professor, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, HKU
Facilitator : Prof. Luke Fryer, Assistant Director, TALIC, HKU
Abstract
Modern standards in dental education demand cultivating “safe dental practitioners” who are equally equipped with personal regulation, soft skills, and lifelong learning habits. This seminar presents key pedagogical insights gained in the areas of lifelong learning, personal development, and reflective practice from a Teaching Exchange Fellowship at the Faculty of Dentistry, Oral & Craniofacial Sciences (FoDOCS) at King’s College London (KCL), United Kingdom.
Participants will be introduced to the cross-disciplinary “SHELL & Professionalism” module used at KCL FoDOCS, a model designed to support the students’ transition to university and clinical learning, nurturing the early stages of student personal development and their professional identity formation, alongside a discussion of how students actively apply these self-regulation frameworks in preclinical simulation labs (FoCP Module) and in evidence-based dentistry tracks (EBDR Module). The session will also highlight how KCL FoDOCS enforces student engagement and curriculum oversight through comprehensive module handbooks featuring learning outcome mapping, paired with a critical reflective portfolio. Finally, the seminar will outline how KCL FoDOCS’s Feedback Reflection Dashboard (FRD) turns qualitative faculty critiques into trackable learning histories, and how these good practices are being adapted to build reflective practice within an ongoing teaching development project on undergraduate student enrichment at HKU-Dentistry.
About the Speaker
Prof. Waruna Dissanayaka is an Assistant Professor in Oral Biosciences and Assistant Dean (Electives & Experiential Learning) at the Faculty of Dentistry, The University of Hong Kong.
In addition to his research and innovation in regenerative dentistry, he is active in dental education. Prof. Dissanayaka leads the International Capstone Experience and the pre-clinical experiential learning component for undergraduate dental students. His commitment to mentorship and teaching innovation excellence was recognized with the HKU-Dentistry Outstanding Teacher Award 2025.
For information, please contact:
Ms. Canice MOK
Teaching and Learning Innovation Centre- 3917 6069
- tsmok@hku.hk
Scholarship of Teaching and Learning Series: From Teaching Questions to Publication
Event Details
Stay tuned for more GenAI and EdTech Toolkits workshops coming in Spring 2026!
Date : 22 Oct (Thu), 11 Nov (Wed) & 10 Dec (Thu) 2026
Time : Varies
Venue : Varies
Abstract
The series moves from starting a scholarship of teaching and learning (SoTL) study, to building a research journey in AI and education, to discussing how educational research is developed and published.
[22 Oct 2026] From Teaching Questions to Research: Starting Your SoTL Journey
Date : 22 October 2026 (Thu)
Time : 12:45pm – 1:45pm
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Speaker : Prof. Cecilia Chan, Professor, TALIC, HKU
Abstract
Many educators notice something in their teaching that they would like to understand better: why an activity works for some students but not others, whether an assessment supports the learning they intended, or how students experience a new approach. How can such questions become a manageable research study? This introductory seminar offers a practical route into the scholarship of teaching and learning (SoTL). Professor Cecilia Chan will discuss how to frame a focused question, draw on existing literature, choose appropriate evidence and methods, and consider ethics and feasibility. Participants will see how a study rooted in their own teaching can produce useful insights for students and colleagues and potentially form the basis of a publication. No prior SoTL research experience is needed.
[11 Nov 2026] Building a Research Journey in AI and Education: Reflections and Emerging Directions
Date : 11 Nov 2026 (Wed)
Time : 5:00pm
Online : Zoom
Speaker : Prof. Cecilia Chan, Professor, TALIC, HKU
Hosted by the International Journal of Educational Technology in Higher Education. The International Journal of Educational Technology in Higher Education is ranked first in the Education & Educational Research category by Journal Impact Factor, with a 2025 impact factor of 38.7.
Abstract
How can researchers build meaningful and impactful scholarship in an era where AI technologies are evolving faster than educational research can keep pace? In this webinar, Professor Cecilia Chan reflects on her research journey in AI and education and shares insights from her latest work on AI literacy, AI-resilient assessment, AI-giarism, ethical boundaries of AI use, and learners’ conceptualisations of AI as a cognitive partner. Drawing on recent empirical studies, the session explores emerging questions and future directions for educational technology research, considering how generative AI is reshaping our understanding of learning, assessment, and human thinking in education.
Host
International Journal of Educational Technology in Higher Education
[10 Dec 2026] From Research to Publication: A Conversation with Journal Editors
Date : 10 Dec 2026 (Thu)
Time : TBC
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Speaker : TBC
Facilitator : Prof. Cecilia Chan, Professor, TALIC, HKU
Abstract
What do journal editors look for when considering a paper for their journal? Professor Cecilia Chan will facilitate a conversation with journal editors about what makes a study valuable to readers, how editors decide whether to send a paper for review, and what authors can do to present their work clearly. Participants will have the opportunity to ask questions about publishing their teaching and learning research. The editors will be announced nearer the date.
About the Speaker / Facilitator
Prof. Cecilia K. Y. Chan is an internationally recognised leader in artificial intelligence (AI) in education and holistic competency development, she is ranked #52 globally in Education and among the Top 2% of scientists (Stanford–Elsevier, 2025). She is a professor in the Teaching and Learning Innovation Centre (TALIC) and the Faculty of Education in the University of Hong Kong (HKU). She has published extensively in leading journals such as Educational Research Review and the International Journal of Educational Technology in Higher Education. Her scholarship has shaped international discourse on digital education, and assessment, earning awards including the HKU Young Researcher Award, the HKU Research Output Prize, Knowledge Exchange Prize and the HK UGC Excellence Teaching Award.
For information, please contact:
Ms. Miffy LEUNG
Teaching and Learning Innovation Centre- 3917 8182
- miffylhy@hku.hk
RPg Pedagogical Course Design Workshop Series
Event Details
Remark
The workshop will be cancelled if there are bad weather circumstances (e.g. typhoon signal 8 or above, or black rain is hoisted or in force at or after 6:00am) on Thursday, 25 September, and will be rescheduled for this Friday, 26 September 2025 (12:00pm – 1:45pm) at the Learning Lab, RRS321, Run Run Shaw Building, Main Campus
Date : Oct – Dec 2026
Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Abstract
Further to the official announcement from the Vice-President and Pro-Vice-Chancellor (Teaching and Learning) and the Graduate School, all faculties, departments, and schools must have their RPg-training courses in place no later than September 2027. Course proposals must be submitted to TALIC and Graduate School by January 8, 2027 (see https://talic.hku.hk/professional-development/new-faculty-department-pedagogical-training-course/ for details). TALIC will be holding a series of 3 workshops (each offered twice) to support staff who are involved in designing/teaching these courses. Please note that these are not general interest workshops. You should only register if you are involved with this initiative. If you have any questions, please contact Dr. Alex Shum (alexshum@hku.hk) and Dr. Jannie Roed (roedjan@hku.hk).
[October 2026] Theme 1: Designing and Facilitating Course Assessments
Please choose 1 Session:
| Date | Time | |
|---|---|---|
| Session 1 | 12 Oct 2026 (Mon) | 12:00pm – 1:30pm |
| Session 2 | 16 Oct 2026 (Fri) | 12:00pm – 1:30pm |
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Facilitator : Dr. Jessica To, Lecturer, TALIC, HKU
Abstract
The workshop will discuss how to design and facilitate microteaching sessions, grading practice, teaching observations, and other potential assessments. We will also discuss the use of rubrics, grading, and feedback practices for these assessments. Participants should come prepared with plans for potential assessments and how they align with their proposed course learning outcomes. Part of the session will be devoted to (small) group consultations and Q&A led by TALIC staff.
[November 2026] Theme 2: Student-Focused Teaching (Classroom Activities and Student Motivation)
Date : 3 Sep 2026 (Thu)
Time : 12:30pm – 1:45pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Guest Speaker : Ms. Tanya Kempston, PGDE Programme Director and Principal Lecturer, Academic Unit of Language and Literacy Education, Faculty of Education, HKU
Facilitators :
- Dr. Jannie Roed, Director, TALIC, HKU
- Dr. Lillian Luk, Lecturer, TALIC, HKU
- Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Abstract
Details will be announced soon.
[December 2026] Theme 3: Mentorship
Date : 18 Sep 2026 (Fri)
Time : 12:30pm – 2:00pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Facilitator : Dr. Lillian Luk, Lecturer, TALIC, HKU
Consultants :
- Mr. Beau Lefler, Principal Lecturer, Accounting and Law, HKU Business School, HKU
- Dr. Vivian Chu, Lecturer, Centre for Civil Society and Governance, Faculty of Social Sciences, HKU
Abstract
Details will be announced soon.
For inquiries, please contact:
Dr. Alex Shum
Senior LecturerTeaching and Learning Innovation Centre
For inquiries, please contact:
Dr. Jannie Roed
DirectorTeaching and Learning Innovation Centre
Quick-Start AI Recipes for the Classroom Workshop Series
Event Details
Stay tuned for more GenAI and EdTech Toolkits workshops coming in Spring 2026!
Date : 8 Oct (Thu), 13 Nov (Fri) & 8 Dec (Tue) 2026
Time : 1:00pm – 1:30pm
Online : Zoom
Presenters :
- Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
- Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
- Mr. Ian Paolo, Research Assistant I, TALIC, HKU
Abstract
Understanding the efforts and challenges teachers face when using AI and developing context-aware learning resources, we’ve prepared a collection of readily available AI-assisted teaching and learning activities and recipes for you to integrate and adapt to your own context and setting.
These activities have been co-created with and used by university faculty in real learning scenarios. They’re not proof-of-concept experiments; they are practical support tools already working in classrooms.
Each workshop focuses on one theme and introduces three recipes, including a live demonstration of a featured recipe and the activities. The participants will receive the recipes upon completion of the workshop and are encouraged to adapt, enhance or remix them for their teaching and learning needs.
[8 Oct 2026] Theme 1: Decision Hackers – AI for critical thinking and decision-making
Date : 8 Oct 2026 (Thu)
Time : 1:00pm – 1:30pm
Online : Zoom
Presenters :
- Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
- Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
- Mr. Ian Paolo, Research Assistant I, TALIC, HKU
Abstract
What happens when strategic curriculum design and technical expertise power student creativity? In this inspiring seminar, the speaker will showcase a groundbreaking, student-centered Chinese online game project. As the project leads, the speaker conceptualized the overarching storyline and structured the operational workflow, while working hand-in-hand with a dedicated technical team and game manager to mentor students through complex game mechanics and digital tools. Under this dual-guided framework, students took ownership of designing individual game levels from scratch—not only sharpening their Chinese language proficiency, but also building critical problem-solving, digital literacy, and teamwork skills. Adding a firsthand perspective, the student game designers will share the creative vision behind their levels, the real-world technical and narrative challenges they faced, and how they successfully overcame them. Attendees will gain actionable insights on how to balance structured teacher leadership, technical scaffolding, and student-centered innovation to elevate language pedagogy.
[13 Nov 2026] Theme 2: Context Lab – creating context-aware AI content and learning scenarios
Date : 13 Nov 2026 (Fri)
Time : 1:00pm – 1:30pm
Online : Zoom
Presenters :
- Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
- Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
- Mr. Ian Paolo, Research Assistant I, TALIC, HKU
Abstract
The use of generative AI in universities is transitioning from a limited novelty to an essential utility. Institutions now regard AI literacy as a core competency. While human-AI collaboration is encouraged and practiced in academia, students must ensure the originality of their work, utilize reliable sources, and verify the accuracy of their work. Many first-year students often lack the skills to distinguish AI-generated misinformation from credible scholarship, unknowingly building their learning on unreliable foundations. While institutional responses focus predominantly on academic misconduct and detection, a critical gap remains: how do we equip students to critically verify and responsibly engage with AI-generated content?
This seminar addresses that gap by introducing practical strategies and customised AI tools to guide students in source verification and critical AI literacy. Participants will explore methods for in-class integration and out-of-class learning support. The session concludes with a facilitated open discussion where instructors can share challenges and collaboratively explore how to help students develop sustainable critical evaluation practices when engaging with AI.
Ms. Ellen Seto is a Senior Instructional Designer at TALIC. She specializes in online course design and collaborates with the university’s faculties and teachers in developing online learning modules. A trailblazer at the university’s MOOCs project, she has played a pivotal role in supporting the creation of 50 global online courses and 20+ SPOCs for blended/flipped learning.
[8 Dec 2026] Theme 3: Integrity by Design – AI integrity in academic practice
Date : 8 Dec 2026 (Tue)
Time : 1:00pm – 1:30pm
Online : Zoom
Presenters :
- Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
- Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
- Mr. Ian Paolo, Research Assistant I, TALIC, HKU
Abstract
AIMPAC is a university-wide online hub that supports students’ development of AI-Powered Multimodal Presentations in the Academic Context (aimpac-caes.hku.hk). At its core is a curated collection of student presentation exemplars spanning diverse disciplines, genres, topics, and contexts. To promote active viewing, AIMPAC offers a range of learning features, including annotations, picture-in-picture (PiP), and interactive activities embedded in videos. Students can respond to videos using instant emoji reactions, generate word clouds, and contribute to comment boards. These features support students’ independent learning while fostering classroom interaction.
AIMPAC enables all HKU teachers across disciplines to create customised course pages to share course videos and presentation exemplars with students and to promote video-based learning using interactive features. Another highlight of AIMPAC is a series of diagram-generation chatbots that support brainstorming, draft planning, presentation storyboard development, and infographic creation.
In this seminar, participants will explore how to incorporate AIMPAC’s learning resources and diagram-generation chatbots into their courses to promote active learning, stimulate classroom discussion, and strengthen students’ AI literacy for academic communication.
For information, please contact:
Ms. Wing LIN
Teaching and Learning Innovation Centre
- 3917 6038
- winglwf@hku.hk
Training workshop on the AI-enabled platform Ark Junior
Event Details
Date : 7 Oct 2026 (Wed)
Time : 3:00pm – 4:30pm
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Speaker : Prof. Zheng Zhang, Professor, School of Computing & Data Science,HKU; Founder and Chief Scientist, The HKU Shanghai Cross Innovation Lab
Note:
Please bring your laptop / notebook computer, a slide deck (with approximately 20 slides), an e-copy of reading, book chapter, or notes, and earphones to the workshop.
You could choose a deck on something you could teach to and share with a colleague outside your field - a seminar introduction, a talk you have given, a hiking trip and animations and all – not all needs to be kept but it will be nice that this is also a fun sharing. Some parents may build PPTs to share with other family members/friends a trip experience, or reading club members sharing their recent books.Abstract
Teaching works when students ask. In a lecture hall few of them do: putting your hand up stops the room, and most students decide their question is not worth that. The AI-enabled platform “Ark Junior” takes the slides a teacher already has and turns them into a lecture a student can stop at any point to ask a question. Each answer is grounded to course material, and points back to the slide it came from. The Ark Junior does not replace a human-delivered lecture. It is meant as an extension: to lower students’ barrier to ask questions, and to give teachers a wider surface for working out backwards where students are struggling.
In this workshop, participants will first learn about how the Ark Junior operates, and will then leverage this platform to create their lecture and add questions to engage students. They will also play the role of a student to learn each other’s lesson and interact with their slides. The workshop will close with a short discussion of what they would do with the Ark Junior in a live class.
About the Speaker
Prof. Zheng Zhang (ZZ) is the Founder and Chief Scientist of The HKU Shanghai Cross Innovation Lab (HKU SH X-Lab), a research institute in Shanghai affiliated with the School of Computing & Data Science at The University of Hong Kong.
He was a Senior Principal Scientist and the Founding Director of the Amazon Web Services Shanghai AI Lab. He was also a Global Network Professor of Computer Science at NYU Shanghai, with affiliated appointments at the Department of Computer Science at the Courant Institute of Mathematical Sciences and the NYU Center for Data Science at NYU’s New York campus. Previously, he founded the System Research Group and served as Principal Researcher and Research Area Manager at Microsoft Research Asia.
He holds a PhD from the University of Illinois at Urbana-Champaign, an MS from the University of Texas at Dallas, and a BS from Fudan University. Zhang was a founder and advisor of several deep learning platforms, including MXNet, MinPy, and most recently DGL, which brings deep learning to graph applications. In 2025, he released LLM4LLM, an open-source self-learning course exploring new AI-era education.
For information, please contact:
Ms. Miffy LEUNG
Teaching and Learning Innovation Centre
- 3917 8182
- miffylhy@hku.hk
GenAI / Edtech for All – A Toolkit Series (Fall 2026)
Event Details
Date : 30 Sep (Wed), 21 Oct (Wed) & 28 Oct (Wed) 2026
Time : 12:30pm – 1:30pm
Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Abstract
Many tools offer exciting possibilities in the ever-evolving fields of GenAI and educational technology (EdTech). To help educators harness the power of these tools, we offer a series of workshops focused on the most commonly used GenAI and EdTech tools. Participants will better understand and integrate these tools into their teaching practices through these workshops. They will be provided with practical examples of their application in real-world scenarios. This is a unique opportunity to explore and leverage these tools to enhance the educational experience for both teachers and students.
Stay tuned for more GenAI and EdTech Toolkits workshops coming in Fall 2026!
[30 Sep 2026] Workshop 1 : Exploring TALICChatbot / VCLLCBot for Teaching and Learning
Date : 30 Sep 2026 (Wed)
Time : 12:30pm – 1:30pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Abstract
VCLLCBot is a chatbot TDLEG project initiated by the School of Chinese. The chatbot offers a range of customisable functions designed to support teaching and learning activities. It is currently integrated into Moodle, allowing teachers to create customised chatbot activities for students to use in class or as self-learning resources.
As a collaborator, TALIC provides support for a cloned version of the platform, tentatively named TALICChatbot, as a pilot initiative for faculties. This first workshop will offer hands-on training on the basic concepts and functions of the chatbot, including agent setup, Moodle integration, and practical usage scenarios. A brief introduction to advanced features will also be provided. More advanced hands-on training will be offered in subsequent workshops.
About the Speaker
Mr. Bryan Pong is an IT Technician at School of Chinese and a Computer Engineering graduate from HKU. He develops Unity-based learning applications and interactive web, mobile, and VR/AR experiences. His work spans AI-assisted VR speech training, wearable-integrated VR research, and STEM innovation through Project Matchbox 1.
[21 Oct 2026] Workshop 2 : From Generic to Tailored: Customising AI Agents for Teaching and Learning on TALICChatbot
Date : 21 Oct 2026 (Wed)
Time : 12:30pm – 1:30pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Abstract
A hands-on workshop on customising your AI agent in TALIC Chatbot. Build an FAQ-based agent for consistent answers and set up a team of specialist agents behind a single agent. You will also get a quick tour of source citations and the new Knowledge Graph features. New participants are welcome, and no attendance at Workshop 1 is required.
TALIC Chatbot platform (tentative): https://talicchatbot.talic.hku.hk
About the Speaker
Mr. Bryan Pong is an IT Technician at School of Chinese and a Computer Engineering graduate from HKU. He develops Unity-based learning applications and interactive web, mobile, and VR/AR experiences. His work spans AI-assisted VR speech training, wearable-integrated VR research, and STEM innovation through Project Matchbox 1.
[28 Oct 2026] Workshop 3 : Vibe Coding a Mini-App for Teaching and Learning Support on TALICChatbot
Date : 28 Oct 2026 (Wed)
Time : 12:30pm – 1:30pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Abstract
This hands-on workshop introduces Interactive Apps in TALIC Chatbot. Participants will adapt a template, use vibe coding to customise or create a simple app, publish it to Moodle, and confirm that scores appear in the gradebook. Completion of Workshops 1 and 2 is recommended but not mandatory.
About the Speaker
Mr. Bryan Pong is an IT Technician at School of Chinese and a Computer Engineering graduate from HKU. He develops Unity-based learning applications and interactive web, mobile, and VR/AR experiences. His work spans AI-assisted VR speech training, wearable-integrated VR research, and STEM innovation through Project Matchbox 1.
For information, please contact:
Ms. Wing LIN
Teaching and Learning Innovation Centre
- 3917 6038
- winglwf@hku.hk
HKU GenAI Strategies for Supporting Students with Diverse Learning Needs
Event Details
Date : 28 Sep 2026 (Mon)
Time : 12:30pm – 2:00pm
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Quota : 48
Speaker : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Content Designer : Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
Light refreshments will be provided.
Abstract
Explore practical ways to use HKU GenAI Service to support students diverse learning needs in writing, conceptual understanding, and reading comprehension. This hands-on workshop introduces three practical activities: flip-card generation for structured writing support, concept map generation for organising ideas and building conceptual understanding, and multi-step reading comprehension support through text chunking, listening, summarising.
About the Speaker
Dr. Carson Hung is a Lecturer / E-learning Technologist at TALIC, specialising in leveraging cutting-edge technologies such as AR/VR, Al, and games to enhance student engagement. With extensive experience in EdTech projects, he is passionate about using innovative solutions to enhance students’ learning experience.
Co-host
For information, please contact:
Ms. Wing LIN
Teaching and Learning Innovation Centre
- 3917 6038
- winglwf@hku.hk
Student-Staff Partnership x AI Integration in Higher Education Seminar Series
Event Details
Stay tuned for more GenAI and EdTech Toolkits workshops coming in Spring 2026!
Date : 24 Sep (Thu), 9 Oct (Fri), 26 Oct (Mon), 10 Nov (Tue), 25 Nov (Wed) & 14 Dec (Mon) 2026
Time : 1:00pm – 2:00pm
Online : Zoom
Abstract
As Artificial Intelligence (AI) continues to reshape the landscape of higher education, meaningful collaboration between students and staff has become more essential than ever. The SSPxAI Seminar Series aims to explore the synergies between student-staff partnership and AI integration in teaching and learning. Through this seminar series, speakers (including staff and their student partners) will share their experiences of experimentation and explore how collaborative approaches can enrich teaching, learning, and the broader educational experience within an AI-enhanced environment. They will also reflect on the essential knowledge, tools, and collaborative mindsets needed to navigate this evolving landscape.
The series welcomes anyone interested in exploring innovative pedagogical approaches that harness the potential of AI while fostering meaningful human collaboration in the learning process. Across the sessions, participants will engage with diverse perspectives on integrating AI tools into curriculum design, assessment practices, outside-classroom activities, and more. These discussions will be explored through a partnership lens that values the voices and contributions of both students, staff in shaping AI-enhanced learning experiences.
Following each presentation and Q&A session, a virtual Co-Creation Cafe hosted in breakout rooms will provide an informal space for participants to seek advice, exchange ideas, and continue the conversation. Partnership Advocates of the Community of Practice for Student Partnership (CoP-SP) will be available for consultation and support.
| 1:00pm - 1:05pm | Introduction by facilitator |
| 1:05pm -1:30pm | Presentation |
| 1:30pm - 1:40pm | Q&A |
| 1:40pm - 1:55pm | Virtual Co-Creation Café |
| 1:55pm - 2:00pm | Wrap-up, evaluation and next session announcement |
* This is an online interactive session where speakers will stay for 15 min in Zoom breakout rooms to meet individual participants for in-depth conversation or potential collaboration. CoP-SP members and Partnership Advocates will host other breakout rooms for general consultation, e.g., university policies and resources for SaP or use of AI tools in teaching and learning. Participants will be encouraged to continue the dialogue afterwards.
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[24 Sep 2026] Seminar 1: Ever Tried. Ever Failed. Fail Better: Navigating Uncertainty through the Trio Model in Students as Partners
Date : 24 Sep 2026 (Thu)
Time : 1:00pm – 2:00pm
Online : Zoom
Speakers :
- Ms. Chin Yu Tso, Year 4 UG, Faculty of Social Sciences, HKU
- Dr. Peter Fat Man Lau, Lecturer, TALIC, HKU
Abstract
The incorporation of AI into higher education has muddied assumptions about knowledge, expertise, and student–educator relationships. Its most underdiscussed consequence is affective: the vulnerability, self-doubt, and fear of failure that emerge when clear answers no longer exist. This session explores what becomes possible when uncertainty is approached as something students and staff navigate together. We examine how cultures of care and productive failure can reframe uncertainty, inspiring the development of our proposed Trio Model, which positions students, educators, and AI as partners in shared learning. Inspired by Cook-Sather’s (2025) notion of generative unknowingness, Brantmeier’s (2013) pedagogy of vulnerability, and Noddings’ (1988) ethic of caring, we reimagine uncertainty as possibility.
Intended Learning Outcomes
- Identify the principles, values, and pedagogical intervention underlying the Trio Model.
- Explore new ways of conceptualising and navigating uncertainty and failure in the age of AI.
About the Speakers
Ms. Tso is a year 4 undergraduate student majoring in Interdisciplinary Studies and Comparative Literature at HKU. She’s passionate about empowering students, fostering student engagement, and driving positive change in higher education through student–staff partnerships. She is also the Student Partner and Core Project Member for Exploring GenAI Use in Teaching and Learning Enhancement through a Pedagogical Partnership Approach and Collaborative Showcase, UGC TDLEG-IICA (2025-2028 Triennium).
Dr. Peter Lau is a Lecturer at the Teaching and Learning Innovation Centre. He has a decade of teaching experience. As an advocate for Students as Partners (SaP), Peter works with colleagues and students in T&L projects on various topics, such as service-learning, team-based learning, academic integrity, creative drama, reflective portfolio, etc. Peter is the project leader of Exploring GenAI Use in Teaching and Learning Enhancement through a Pedagogical Partnership Approach and Collaborative Showcase, UGC TDLEG-IICA (2025-2028 Triennium). And he is also the program leader of University Climate Action Program, UGC TDLEG-IICA (2025-2028 Triennium)
[9 Oct 2026] Seminar 2: Productive Friction in Student-AI Collaboration: AI-Task Fit Design in a Business AI Course
Date : 9 Oct 2026 (Fri)
Time : 1:00pm – 2:00pm
Online : Zoom
Speaker :
Dr. Dimple R. Thadani, Senior Lecturer, Department of Management, Marketing and Information Systems, HKBU
Student Partner : Ms. Naina Manoj Ramchandani, Year 2, Bachelor of Arts, Science and Technology in Individualised Major, HKBU
Abstract
This presentation reports on the implementation of an AI Affordance-Cognition Fit Framework within a first-year Business AI core course. Using authentic coursework data and a student partnership approach, we examine how aligning AI affordances with task cognitive demands influences student learning and assessment quality. Guided by task-technology fit principles, students engaged with AI as a collaborative thinking partner rather than a content replacement tool. Findings suggest that deliberately introducing “productive friction” through critique, evaluation, and refinement of AI outputs promotes deeper engagement and stronger coursework outcomes. The presentation offers practical insights for designing AI-enhanced curricula that balance efficiency, critical thinking, and meaningful student-AI collaboration.
Intended Learning Outcomes
- Describe how the alignment of AI affordances and task cognitive demands influence student learning and assignment quality.
- Evaluate assessment tasks using the AI-Task Fit framework.
About the Speaker
Dr. Dimple R. Thadani (PhD, SFHEA, PGCHE) is a Senior Lecturer at Hong Kong Baptist University, specialising in AI-related business subjects, including AI for Business and Business Intelligence. She holds a PhD in Information Systems, an Advance HE Senior Fellowship (SFHEA), and a Postgraduate Certificate in Higher Education (PGCHE). Dedicated to integrating technology, education, and business to prepare students for the digital era, she received the Higher Education Outstanding Teaching Achievement Award from the Ningbo Education Bureau (Municipal Level) in April 2025. Her research interests include AI tools and pedagogy, agentic AI for education, AI in business education, digital transformation, platform strategies, and the development of smart cities.
Student Partner
Ms. Naina Manoj Ramchandani
Year 2, Bachelor of Arts, Science and Technology in Individualised Major, HKBU
[26 Oct 2026] Seminar 3: Realigning Assessment and Authentic Learning to Neutralize AI Misuses in Learning
Date : 26 Oct 2026 (Mon)
Time : 1:00pm – 2:00pm
Online : Zoom
Speaker :
Prof. Lukas Liu, Assistant Professor, Faculty of Education, HKU
Student Partner(s): TBC
Abstract
In the wake of generative AI, academic misuse often stems from a fundamental misalignment where instructors design tasks for learning, while students deploy AI to survive high-stakes assessments. In this talk, I will discuss this issue from the perspective of contextual differences in human-AI interaction and explore a pedagogical shift within a reading-intensive MEDD8935 Theories of Learning in STEM Education course that addresses this disconnect. By reframing the primary objective from textbook memorization to articulating a personal learning theory, the stakes of AI misuse are fundamentally altered. This talk will present an instructional design model course requirements feed directly into live, experience-driven classroom discourse, ensuring that even AI-assisted preparation can be grounded in concrete human experience during class.
Intended Learning Outcomes
- Analyze how the structural misalignment between pedagogical goals and high-stakes assessment drives student AI misuse.
- Design collaborative, experience-driven assessment sequences that prioritize authentic knowledge construction over rote retention, thereby reducing the incentive for AI misuse.
About the Speaker
Prof. Lukas Liu is an Assistant Professor of Learning Design and Implementation Sciences at the Faculty of Education, the University of Hong Kong. He received his PhD degree in instructional systems and learning technologies from Florida State University. His current work aims to promote the development and learning transfer of computational thinking among K-12 students and teachers. He focuses on designing and developing active game-based learning experiences to facilitate learners’ knowledge acquisition and transferable skill development through problem-solving. Moreover, his research interests also include using quantitative analytics methods to understand learners’ behaviour, competence, discourse, and interactions.
[10 Nov 2026] Seminar 4: Amplifying Student Voices: How AI and Student-Staff Partnership Transform Student Learning in ESG Podcast Production at HKU
Date : 10 Nov 2026 (Tue)
Time : 1:00pm – 2:00pm
Online : Zoom
Speakers :
Program leaders
- Prof. Janet Chan, School of Biological Sciences, HKU
- Mr. Vincent Leung, MSc in Environmental Management Graduate (2024), HKU
Students
- Ms. Anvesha Bajpai, Year 4 UG, Faculty of Science, HKU
- Ms. Gungun Jain, Year 2 UG, HKU Business School
- Mr. Sam Bekemans, Year 2 TPg, MSc in Environmental Management, HKU
Abstract
ESG Podcast: From Classroom to Boardroom is a student-led ESG podcast supported by the HKU Climate Ambassador Program and funded by a Teaching Development Grant. Student partners from diverse faculties (Science, Arts, Engineering, Business, Medicine, and Social Science) take the lead as hosts, content researchers, scriptwriters, editors, and social media strategists while program leaders and coordinators provide academic oversight and industry connections.
AI tools are integrated across the production workflow—from AI-powered transcription and content summarisation to automated social media caption generation and distribution. This enhances efficiency while allowing students to focus on developing critical thinking, interviewing, and communicating professional knowledge to the general public. The podcast has produced seven episodes across ESG topics, including food waste (Part 1 & 2), ESG education in universities, ESG reporting and sustainable finance, green risk (Part 1 & 2), biodiversity finance, and sustainable governance, featuring academic and industry leaders. We will share practical insights, challenges, and evidence of student development from this ongoing project.
If you are interested in following our journey, please follow us on:
Instagram : https://www.instagram.com/hku_esgpodcast/
LinkedIn : https://www.linkedin.com/company/esg-podcastt
About the Speakers
Program Leaders
Prof. Janet Chan is a Senior Lecturer (Associate Professor of Teaching) in the School of Biological Sciences, Faculty of Science, at The University of Hong Kong, where she serves as the Program Coordinator and Chief Examiner for the Master of Science in Environmental Management. As the Program Director and Co-founder of the HKU ESG Podcast, she leads the project under a “Students-as-Partners” framework—delivering foundational ESG briefings, mentoring student teams, and leveraging her extensive network to connect students with leading academic and industry experts. In addition to teaching courses in environmental management, she was featured as a guest speaker in Episodes 2 and 6, addressing urban food waste solutions and environmental education in Hong Kong, with a strong commitment to empowering students as proactive leaders in climate action and corporate ESG transformation.
Mr. Vincent Leung is a graduate of the HKU MSc in Environmental Management (2024) and an Assistant Manager in Financial Services at Sia and. As a Co-founder of the HKU ESG Podcast, he plays a key role in guiding and mentoring student researchers, scriptwriters, and hosts across various production phases. Bringing deep expertise in sustainable finance and corporate ESG strategies, Vincent served as the professional co-host for Episodes 1, 2, 3.2, and 5—leading discussions on circular economy solutions, food industry decarbonization, sustainable banking, and biodiversity finance. His work bridges professional financial advisory with student mentorship, translating complex corporate reporting and sustainability frameworks into engaging public media.
Student Partners
Ms. Anvesha Bajpai is a final-year BSc Environmental Science student at the University of Hong Kong. As a Researcher and Host for the HKU ESG Podcast, she led topic research, guest recruitment, and episode hosting (Episode 3.1: The Fine Print of Green Risk – What Banks Really Ask Before They Lend). She has a strong interest in integrating sustainability within supply chain management, reflected in her work analysing ESG data and lifecycle impacts during her internship at Parallel 51. Beyond academics, she is committed to advancing sustainability through civic and volunteer engagement—contributing to Hong Kong’s public consultation on the First Five-Year Plan and supporting initiatives at Sprout Heroes and Redress.
Mr. Sam Bekemans is an environmental journalist and student in the HKU MSc in Environmental Management, where his work focuses on the nexus between Chinese policy and climate change adaptation and mitigation. He teaches on Sustainable Development Goals in the Transdisciplinary Undergraduate Programmes at HKBU and has taught climate journalism and core skills at the HKU Journalism and Media Studies Centre. As a host for the HKU ESG Podcast, Sam led Episode 4, “Sustainability Governance: Boards, Data, and the People Who Actually Move Things.” Leveraging his deep understanding of sustainability governance and strong hosting skills, he seamlessly bridged insights between industry executive and HKU Business School scholar to facilitate a compelling, high-impact discussion.
[25 Nov 2026] Seminar 5: From Co-Learners to Co-Creators: A Next-Generation GenAI-Powered, Flashcard-Driven Language Tutoring Platform in Action
Date : 25 Nov 2026 (Wed)
Time : 1:00pm – 2:00pm
Online : Zoom
Speaker :
Dr. Chun Kit Sam Hau, Lecturer, Department of Chemistry, CUHK
Abstract
Chemistry is far more than words and symbols in textbooks; it is deeply embedded in everyday life through the substances and reactions that shape our world. Yet many students perceive chemistry as intimidating and inaccessible. This challenge is particularly acute for learners navigating language barriers, such as those transitioning from non-English medium backgrounds into English medium academic environments. Adapting to new disciplinary knowledge and unfamiliar linguistic conventions can be time-consuming, frustrating, and demotivating, eroding confidence and engagement.
To address these challenges, this project proposes the development of gamified, flashcard-based e-learning materials powered by a Generative AI (GenAI) tutoring system. Grounded in a student partnership model, learners are positioned not merely as end users but as genuine co-creators throughout the project lifecycle. Their learning experiences and feedback shape the platform’s design, ensuring it is pedagogically sound and responsive to the learner community.
The platform will diagnose individual strengths and areas for development and provide targeted language scaffolding. By integrating adaptive practice with game-like elements, the tool aims to foster engagement, support diverse linguistic backgrounds, and promote self-regulated learning to improve conceptual understanding and outcomes in introductory chemistry and related science courses.
Intended Learning Outcomes
- Describe how GenAI powered, gamified flashcard tools can enhance student engagement and support learning in introductory courses
- Identify practical strategies for embedding a student partnership model into the design and development of AI enhanced e-learning resources within their own teaching and institutional contexts.
About the Speaker
Dr. Sam Hau holds a BSc with First Class Honours in Chemistry from Hong Kong Baptist University and a PhD in Organic Synthesis from CUHK. Following postdoctoral work in X-ray Crystallography, he joined CUHK as a lecturer in 2019, committed to developing innovative teaching and exploring AI integration in chemistry education.
[14 Dec 2026] Seminar 6: “Embracing AI?” Student Perceptions, Practices, and Anxiety in a Hong Kong University
Date : 14 Dec 2026 (Mon)
Time : 1:00pm – 2:00pm
Online : Zoom
Speaker :
Prof. Lillian Luk, Assistant Professor, TALIC, HKU
Student Partner:
Ms. Ye Chen, TALIC, HKU
Abstract
The idea for this study was sparked by a moment in my own teaching practice, when my students shared with me how their peers had become obsessed with running their written work through multiple AI detectors. Their stories were not casual anecdotes; they were expressions of genuine worry, describing classmates who repeatedly checked and re‑checked their assignments out of fear of being falsely accused of using AI. Such conversations prompted me to partner with my student to investigate more deeply how these anxieties shape students’ learning experiences in the AI era.
Generative AI (GenAI) is rapidly becoming embedded in university learning and campus life. However, institutional encouragement for students to “embrace AI” has outpaced the development of clear and consistent policies governing its use (McDonald et al., 2025). This ambiguity, where GenAI is promoted as a tool for productivity while certain uses may constitute academic misconduct, creates uncertainty that can heighten students’ anxiety about using AI. This study investigates how undergraduate students navigate AI-mediated learning environments, focusing on their experiences of AI-related anxiety.
Using survey items informed by Wang and Wang’s (2024) four-dimensional framework of AI anxiety, the study adopted a sequential mixed-methods design. Exploratory factor analysis (EFA) was conducted using survey data from 132 students, followed by confirmatory factor analysis (CFA) from an independent sample of 180 students. Follow-up semi-structured interviews were conducted to provide a deeper understanding of students’ experiences.
The EFA identified four factors: AI learning, AI detection, AI-related threats, and the impact of AI on learning. These factors explained 67.0% of the total variance. The CFA supported an acceptable fit for this four-factor model. Interview findings further showed that students’ AI-related anxiety stemmed not only from the technology itself, but also from uncertainty about institutional criteria and policies for AI use, as well as perceived variations in teachers’ attitudes toward AI.
Intended Learning Outcomes
By the end of this seminar, colleagues will be able to consider how students navigate the pedagogical, ethical, and emotional uncertainties surrounding GenAI when designing the curriculum, and apply insights from this study to inform clearer institutional policies and more responsive forms of student support.
About the Speakers
Dr. Lillian Luk was an assistant professor in the Teaching and Learning Innovation Centre in the University of Hong Kong and is currently an Honorary Research Fellow in the Centre for Engineering Education at University College London.
Miss Chen Ye is a second-year PhD student in the Faculty of Education at the University of Hong Kong. Her research interests primarily include postgraduate education and graduate employment.
Acknowledgement
TDLEG Trio Partnership Project
(2025 – 2028)
(2025 – 2028)
This seminar series is supported by an Inter-Institutional Collaborative Project in Teaching Development and Language Enhancement Grant (2025 – 2028 Triennium), Exploring GenAI use in teaching and learning enhancement through a pedagogical partnership approach and collaborative showcase (Trio Partnership Project), funded by the University Grants Committee (UGC).
The Lead Institution
The University of Hong Kong
Partner Institutions
Higher Education Research and Development Society of Australasia
Hong Kong Baptist University
The Chinese University of Hong Kong
The Hong Kong Polytechnic University
The Hong Kong University of Science and Technology
Beijing Normal-Hong Kong Baptist University
Lund University
National University of Singapore
For information, please contact:
Ms. Jessie ZHENG
Teaching and Learning Innovation Centre
- 3917 6134
- zhengjh@hku.hk
Teaching Exchange Fellowship Scheme Seminar – Teaching Law and the Humanities in Hong Kong and Australia
Event Details
Date : 24 Sep 2026 (Thu)
Time : 12:30pm – 1:30pm
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Speaker : Prof. Shane Chalmers, Faculty of Law, HKU
Facilitator : Prof. Luke Fryer, Assistant Director, TALIC, HKU
Abstract
Over the past three decades, the interdisciplinary field of Law and the Humanities has become a core part of university teaching across North America and the UK, with dedicated associations (including the Association for the Study of Law, Culture and the Humanities, the Canadian Network of Law and Humanities, and the Legal Humanities Association), journals (including Law, Culture and the Humanities, Law and Humanities, and Law & Literature, to name a small fraction), as well as a growing number of handbooks. Yet two places that have made significant contributions to this field are on very different continents: Hong Kong and Australia. This seminar will reflect on a Teaching Exchange Fellowship that brought together one of the field’s founders in Australia, Professor Shaun McVeigh (Melbourne Law School), with colleagues at the University of Hong Kong. If Melbourne Law School is renowned for its graduate research training in this field, then HKU is renowned for its undergraduate double degree in Law and Literary Studies (BA & LLB). The seminar will reflect on this Teaching Exchange Fellowship within the context of the historical emergence, contributions, and future trajectories of this broad field and the work that is being done at HKU.
About the Speaker
Prof. Shane Chalmers is an Assistant Professor of Law and Deputy Director of the Centre for Interdisciplinary Legal Studies at HKU, an Adjunct Associate Professor of Law at Adelaide University, a Vice President of the Law, Literature and Humanities Association of Australasia, and Book Review Editor of Law & Literature. He is author of Colonial Legal Imaginary: A Carnivalesque Jurisprudence of the Antipodes (Cambridge University Press, forthcoming), Liberia and the Dialectic of law: Critical Theory, Pluralism, and the Rule of Law (Routledge, 2018), and co-editor of several edited collections including The Routledge Handbook of International Law and the Humanities (Routledge, 2021).
For information, please contact:
Ms. Canice MOK
Teaching and Learning Innovation Centre- 3917 6069
- tsmok@hku.hk
Assessment Redesign: Rethinking What and How We Assess in an GenAI-enabled World
Event Details
Date : 22 Sep (Tue), 29 Sep (Tue), 6 Oct (Tue) & 5 Nov (Thu) 2026
Time : Varies
Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Abstract
Generative Artificial Intelligence (GenAI) is reshaping the landscape of higher education, challenging long-held assumptions about how student learning is demonstrated and assessed. As GenAI tools become increasingly capable of producing sophisticated written, visual, and multimodal outputs, reliance on detection technologies may be insufficient and unsustainable. Emerging discussions have increasingly focused on assessment redesign, encouraging educators to reconsider what they assess, how to make learning processes visible, and how to foster higher-order thinking, authentic application, critical judgement, and responsible AI use through assessment.
Drawing on contemporary assessment frameworks and faculty-led examples of assessment redesign, this series aims to develop educators’ knowledge, skills, and confidence in assessment redesign for a GenAI-enabled world. Participants will critically review their existing assessment tasks and explore practical strategies for designing assessments that make learning visible, support responsible AI use, and maintain academic integrity.
The series includes an interactive workshop introducing frameworks and principles for assessment redesign, a consultation session offering advice and feedback on participants’ assessment plans, and faculty sharing sessions showcasing assessment redesign journeys. Participants will have opportunities to reflect on their own assessment practices and learn from colleagues’ experiences of redesign and implementation.
Learning Outcomes
By the end of this series, participants will be able to:
- Analyse the implications of GenAI capabilities for assessment design and academic integrity;
- Reflect on their existing assessment tasks to identify opportunities for meaningful redesign; and
- Apply concepts and strategies to redesign assessments that support transparent AI use and visible student learning.
[22 Sep 2026] Session 1 : Future-proofing Assessment: Principles and Strategies for Sustainable Design
Date : 22 Sep 2026 (Tue)
Time : 1:00pm – 3:00pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speaker : Dr. Jessica To, Lecturer, TALIC, HKU
Abstract
This hands-on workshop supports participants in making informed and defensible decisions about assessment design in a GenAI-enabled world through three theoretical lenses: Technological Pedagogical Content Knowledge (TPACK) (Mishar & Koehler, 2006), Human-Centric Artificial Intelligence Pedagogy (HCAP) (Chiu, 2026), and the updated Artificial Intelligence Assessment Scale (AIAS) (Perkins et al., 2025). Participants will first critically review the alignment between their intended learning outcomes and existing assessment tasks to evaluate the sustainability of these assessments in the age of GenAI. Through guided activities and discussion, they will identify areas for meaningful design and apply practical strategies to create assessments that support transparent AI use and make student learning visible.
About the Speaker
Dr. Jessica To is a Lecturer at TALIC, The University of Hong Kong, and also the founder of the HKU GenAI Community of Practice. Her work focuses on helping educators design meaningful learning, assessment, and feedback experiences in a rapidly evolving AI landscape. She has led educational development and research projects across Hong Kong and Singapore, including a current Teaching Development Grant project exploring the role of GenAI in student-teacher feedback co-creation.
Her expertise lies in higher education pedagogy, assessment for learning, and the pedagogical use of GenAI. Combining scholarly research with practical experience in supporting faculty development, she works closely with educators to rethink assessment and feedback practices for the future of learning. Her research has been published in leading journals such as Assessment & Evaluation in Higher Education, Higher Education Research & Development, and Teaching & Teacher Education.
References
- Chiu, T. K. (2026). Human-Centric Artificial Intelligence Pedagogy (HCAP) framework developed from TPACK through integration of artificial intelligence literacy and competency. Interactive Learning Environments, 1-16. [Link]
- Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017-1054. [Link]
- Perkins, M., Roe, J., & Furze, L. (2025). Reimagining the Artificial Intelligence Assessment Scale (AIAS): A refined framework for educational assessment. Journal of University Teaching and Learning Practice, 22(7), 1-26. [Link]
[29 Sep 2026] Session 2 : Assessment Design Clinic: Exploring Challenges and Possibilities
Date : 29 Sep 2026 (Tue)
Time : 1:00pm – 2:00pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Consultants :
- Dr. Jessica To, Lecturer, TALIC, HKU
- Mr. Donn Gonda, Lecturer, TALIC, HKU
Abstract
Redesigning assessments in the age of GenAI often raises discipline-specific questions and practical challenges. This consultation session provides a space for participants to discuss their challenges, explore redesign ideas, and receive feedback from facilitators and peers. Participants are encouraged to bring their assessment tasks, course outlines, marking rubrics, or preliminary redesign plans for discussion. Through conversations and peer exchange, they will gain constructive feedback, practical suggestions, and diverse perspectives on addressing assessment challenges in their own contexts.
About the Facilitators
Dr. Jessica To is a Lecturer at TALIC, The University of Hong Kong, and also the founder of the HKU GenAI Community of Practice. Her work focuses on helping educators design meaningful learning, assessment, and feedback experiences in a rapidly evolving AI landscape. She has led educational development and research projects across Hong Kong and Singapore, including a current Teaching Development Grant project exploring the role of GenAI in student-teacher feedback co-creation.
Her expertise lies in higher education pedagogy, assessment for learning, and the pedagogical use of GenAI. Combining scholarly research with practical experience in supporting faculty development, she works closely with educators to rethink assessment and feedback practices for the future of learning. Her research has been published in leading journals such as Assessment & Evaluation in Higher Education, Higher Education Research & Development, and Teaching & Teacher Education.
Mr. Donn Gonda is a Lecturer at TALIC, The University of Hong Kong. He is an educator and a learning designer with over a decade of experience from higher education to corporate training. He specialises in designing innovative learning experiences, leveraging emerging technologies, and applying research to evaluate and enhance professional development programs.
Passionate about integrating technology into teaching to improve learner engagement, he has facilitated numerous workshops and seminars on learning design, e-learning strategies, and the future of professional development. His work centres on reimagining how learning can be both purposeful and enjoyable — curating cutting-edge tools and approaches that make education not only practical but inspiring.
[6 Oct 2026] Session 3 : Evolving Assessment Practices in Mathematics: What Works, What Doesn't, and What's Next
Date : 6 Oct 2026 (Tue)
Time : 1:00pm – 1:45pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speaker : Prof. Ka Ho Law, Associate Head (Teaching & Learning) and Senior Lecturer (Associate Professor of Teaching), Department of Mathematics, Faculty of Science, HKU
Abstract
Assessment in undergraduate mathematics courses has followed a fairly standard pattern in most parts of the world during most of the time in history: a written final examination supplemented by coursework, typically homework assignments and class tests. During his time as an undergraduate student, the speaker felt that such modes of assessments may not be fully effective in terms of maximising students’ potential for learning. When beginning his teaching career in the pre-AI-era, the speaker tried to introduce measures that could drive students to understand concepts over rote memorisation and mechanical drills, such as open-book examinations and the inclusion of non-standard question types.
The advent of generative AI has arguably left traditional assessments more vulnerable than ever. In this session, the speaker will trace his earlier efforts to reform assessment in mathematics courses, present more recent practices such as oral assessments, reflect candidly on what has and has not worked, and look ahead to possible future developments and challenges.
About the Speaker
Prof. Ka Ho Law is the Associate Head (Teaching and Learning) and a Senior Lecturer (Associate Professor of Teaching) in the Department of Mathematics, Faculty of Science, The University of Hong Kong. As a Senior Fellow of Advance HE, he has been widely recognised for his contributions to teaching and learning innovation, including receiving the Award for Teaching Excellence 2021-22 from the Faculty of Science, as well as the HKU Outstanding Teaching Award 2024.
Prof. Law has led several teaching development projects which aim at enhancing student learning in mathematics, including initiatives on professional writing in mathematics, automated exercise generation, flipped classroom design, and the production of animated lecture videos to support the learning of abstract mathematical concepts. He is also particularly concerned about how the design of assessment formats might promote the understanding of mathematical concepts.
[5 Nov 2026] Session 4 : Consistency-Weighted Writing: A Pro-AI Approach to University Writing Assessment
Date : 5 Nov 2026 (Thu)
Time : 1:00pm – 2:00pm
Online : Zoom
Speaker : Prof. Patrick Adler, Assistant Professor, Department of Geography, Faculty of Social Sciences, HKU
Abstract
This presentation introduces a pro-AI framework for university writing assignments that rewards responsible AI use and the ability to maintain fluency across contexts. Entitled consistency-weighted writing, it promotes the use of AI as a copilot in traditional writing assignments and rewards students for being able to express their ideas in spontaneous written and oral contexts. The approach was developed for large lectures in HKU’s Common Core Curriculum and the Faculty of Social Sciences, which have traditionally relied on take-home writing assessments and have struggled to ensure that these remain authored by students as LLMs have proliferated. In this approach, students complete similar communication exercises across multiple contexts: written take-home, written in class, recorded video, and in-class debate. Students who demonstrate consistency in quality across contexts are graded more on their higher scoring assignments, while those who do not are graded more on their lowest scoring ones. The approach is designed to encourage AI-assisted writing as practice for live communication, allowing students to benefit from it as a tutor without being able to avoid independent communication altogether.
The session will begin with a few remarks from the perspective of a teacher who uses AI in their own work and has struggled to promote responsible AI use. It continues with examples from HKU classes and closes with advice for how to adopt this approach in other academic settings.
About the Speakers
Prof. Patrick Adler is an Assistant Professor in the Department of Geography at the University of Hong Kong. His research focuses on how regions adapt to macroeconomic and technological change, with a particular emphasis on creative city economies. His work has been published in leading journals in economic and urban geography and cited in The New York Times, The Hollywood Reporter, and Bloomberg. He teaches courses on globalization, creative cities, future urban development, and regional economic change. His scholarly project, Disembedded, consists of a series of “experiments” exploring the integration of new technologies into academic research and scholarship. More information is available at disembedded.com.
For information, please contact:
Ms. Miffy LEUNG
Teaching and Learning Innovation Centre- 3917 8182
- miffylhy@hku.hk
Chatbot-Guided Scavenger Hunt: Experiential Learning at Scale
Event Details
Date : 15 Sep 2026 (Tue)
Time : 1:00pm – 2:00pm
Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Speaker : Prof. EeCheng Ong, Associate Professor (Education), Department of Economics, National University of Singapore
Facilitators :
- Dr. Jannie Roed, Director, TALIC, HKU
- Prof. Bingjing Li, Associate Professor, HKU Business School (Economics), HKU
Abstract
There is a pervasive assumption that for learning to be rigorous, it must be serious, procedural, and conducted within the four walls of a lecture hall. But if play can awaken intrinsic motivation, lower barriers to learning, and cultivate relational safety (Forbes, 2021), why aren’t we using it more?
In this seminar, Professor EeCheng Ong will share how she designed and implemented a chatbot-guided scavenger hunt for a large core introductory economics course. A custom Telegram bot led hundreds of students in teams of 3–4 through the city to solve location-based economic puzzles. Participant surveys revealed salient shifts in student perceptions of learning, moving from serious to playful, from procedural to experimental, and from solo to collaborative.
Reference: Forbes, L. K. (2021). The process of playful learning in higher education: A phenomenological study. Journal of Teaching and Learning, 15(1), 57–73. https://doi.org/10.22329/jtl.v15i1.6515
About the Speaker
Prof. EeCheng Ong is an Associate Professor (Education) in the Department of Economics at the National University of Singapore. Inducted into the University Honor Roll for sustained teaching excellence, she teaches large-scale core courses in introductory and intermediate microeconomics, along with electives in applied microeconomics. She incorporates constructivist learning, experiential learning, and the pedagogy of play into her classes. Beyond the classroom, she chairs the faculty committee for teaching awards and serves on the educator track promotion panel.
About the Facilitator
Professor Bingjing Li
Co-host
HKU Business School
For information, please contact:
Ms. Canice MOK
Teaching and Learning Innovation Centre- 3917 6069
- tsmok@hku.hk
“Made in HKU” Seminar Series
Event Details
Stay tuned for more GenAI and EdTech Toolkits workshops coming in Spring 2026!
Date : 2 Sep (Wed), 11 Sep (Fri) & 23 Sep (Wed) 2026
Time : Varies
Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Abstract
Many tools offer exciting possibilities in the ever-evolving fields of GenAI and educational technology (EdTech). To help educators harness the power of these tools, we offer a series of workshops focused on the most commonly used GenAI and EdTech tools. Participants will better understand and integrate these tools into their teaching practices through these workshops. They will be provided with practical examples of their application in real-world scenarios. This is a unique opportunity to explore and leverage these tools to enhance the educational experience for both teachers and students.
[2 Sep 2026] Seminar 1 : From Learners to Creators: Gamifying Chinese Learning through Student-Centered Game Co-Creation
Date : 2 Sep 2026 (Wed)
Time : 12:30pm – 1:30pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
- Dr. Connie Poon, Lecturer, CLEP, School of Chinese, HKU
- Mr. Bryan Pong, IT Technician, CLEP, School of Chinese, HKU
- Student game developers:
- Miss Ho Nga Man, Student, Faculty of Science, HKU
- Miss Lam Wing Yin, Student, Faculty of Science, HKU
- Mr. Cheng Ka Tsung Alex, Student, Faculty of Science, HKU
- Mr. Cheng Chun Yin Adam, Student, Faculty of Science, HKU
Facilitator : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Abstract
What happens when strategic curriculum design and technical expertise power student creativity? In this inspiring seminar, the speaker will showcase a groundbreaking, student-centered Chinese online game project. As the project leads, the speaker conceptualized the overarching storyline and structured the operational workflow, while working hand-in-hand with a dedicated technical team and game manager to mentor students through complex game mechanics and digital tools. Under this dual-guided framework, students took ownership of designing individual game levels from scratch—not only sharpening their Chinese language proficiency, but also building critical problem-solving, digital literacy, and teamwork skills. Adding a firsthand perspective, the student game designers will share the creative vision behind their levels, the real-world technical and narrative challenges they faced, and how they successfully overcame them. Attendees will gain actionable insights on how to balance structured teacher leadership, technical scaffolding, and student-centered innovation to elevate language pedagogy.
About the Speaker
Dr. Connie Poon has over 25 years of experience working in tertiary institutions, possessing extensive expertise in curriculum development and programme coordination. Her research interests include Zuo Zhuan, Chinese philology, Ancient Chinese classics, Chinese for Professional Communication, AI in Chinese teaching and learning, Innovative Chinese Language Teaching and IT in Education.
Mr. Bryan Pong is an IT Technician at School of Chinese and a Computer Engineering graduate from HKU. He develops Unity-based learning applications and interactive web, mobile, and VR/AR experiences. His work spans AI-assisted VR speech training, wearable-integrated VR research, and STEM innovation through Project Matchbox 1.
[11 Sep 2026] Seminar 2 : Prompt, Pause, Prove: Building Students' Critical AI Literacy
Date : 11 Sep 2026 (Fri)
Time : 12:30pm – 1:30pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
- Dr. Alice Yau, Lecturer, CAES, HKU
- Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
Facilitator : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Abstract
The use of generative AI in universities is transitioning from a limited novelty to an essential utility. Institutions now regard AI literacy as a core competency. While human-AI collaboration is encouraged and practiced in academia, students must ensure the originality of their work, utilize reliable sources, and verify the accuracy of their work. Many first-year students often lack the skills to distinguish AI-generated misinformation from credible scholarship, unknowingly building their learning on unreliable foundations. While institutional responses focus predominantly on academic misconduct and detection, a critical gap remains: how do we equip students to critically verify and responsibly engage with AI-generated content?
This seminar addresses that gap by introducing practical strategies and customised AI tools to guide students in source verification and critical AI literacy. Participants will explore methods for in-class integration and out-of-class learning support. The session concludes with a facilitated open discussion where instructors can share challenges and collaboratively explore how to help students develop sustainable critical evaluation practices when engaging with AI.
About the Speakers
Dr. Alice Yau is a Senior Fellow of Advance HE and coordinates a first-year academic English course. Her work focuses on English for Academic Purposes and technology-enhanced language learning, including digital tools, artificial intelligence, and virtual reality applications.
Ms. Ellen Seto is a Senior Instructional Designer at TALIC. She specializes in online course design and collaborates with the university’s faculties and teachers in developing online learning modules. A trailblazer at the university’s MOOCs project, she has played a pivotal role in supporting the creation of 50 global online courses and 20+ SPOCs for blended/flipped learning.
[23 Sep 2026] Seminar 3 : AIMPAC: A University-Wide Online Hub for Supporting Students’ Academic Presentations
Date : 23 Sep 2026 (Wed)
Time : 1:00pm – 2:00pm
Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)
Speakers :
- Dr. Ken Lau, Senior Lecturer and Associate Director, CAES, HKU
- Dr. Vivian Kwan, Lecturer, CAES, HKU
- Dr. Alice Yau, Lecturer, CAES, HKU
Facilitator : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
Registration Deadline: 3 Mar 2026 (Tue) - 5:00pm
Abstract
AIMPAC is a university-wide online hub that supports students’ development of AI-Powered Multimodal Presentations in the Academic Context (aimpac-caes.hku.hk). At its core is a curated collection of student presentation exemplars spanning diverse disciplines, genres, topics, and contexts. To promote active viewing, AIMPAC offers a range of learning features, including annotations, picture-in-picture (PiP), and interactive activities embedded in videos. Students can respond to videos using instant emoji reactions, generate word clouds, and contribute to comment boards. These features support students’ independent learning while fostering classroom interaction.
AIMPAC enables all HKU teachers across disciplines to create customised course pages to share course videos and presentation exemplars with students and to promote video-based learning using interactive features. Another highlight of AIMPAC is a series of diagram-generation chatbots that support brainstorming, draft planning, presentation storyboard development, and infographic creation.
In this seminar, participants will explore how to incorporate AIMPAC’s learning resources and diagram-generation chatbots into their courses to promote active learning, stimulate classroom discussion, and strengthen students’ AI literacy for academic communication.
About the Speakers
Dr. Ken Lau is Associate Director of the Centre for Applied English Studies at the University of Hong Kong. His research interests include academic literacy, language education, and applied linguistics. He serves as Co-Principal Investigator of the AIMPAC project.
Dr. Vivian Kwan is a lecturer at CAES. She has led the development of AI and visual literacy components as part of the University’s first-year English language course. She is leading the AIMPAC project as co-principal investigator.
Dr. Alice Yau is a Senior Fellow of Advance HE and coordinates a first-year academic English course. Her work focuses on English for Academic Purposes and technology-enhanced language learning, including digital tools, artificial intelligence, and virtual reality applications.
For information, please contact:
Ms. Wing LIN
Teaching and Learning Innovation Centre
- 3917 6038
- winglwf@hku.hk
Teaching Exchange Fellowship Scheme Seminar – Grants for overseas reciprocal visits through ‘Teaching Exchange Fellowship Scheme’
Event Details
Date : 9 Sep 2026 (Wed)
Time : 1:00pm – 2:00pm
Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)
Chairman : Prof. Olivia Leung, Associate Dean (Teaching and Learning), HKU Business School
Facilitator : Prof. Luke Fryer, Assistant Director, TALIC, HKU
Abstract
Grants for overseas reciprocal visits through ‘Teaching Exchange Fellowship Scheme’
To encourage HKU staff to introduce new ideas and innovative teaching methods by engaging with teachers from overseas universities, HKU has established the “Teaching Exchange Fellowship Scheme”. Under this scheme, HKU will provide funding up to $50,000 for reciprocal staff visits and a teaching relief grant of up to $60,000 may also be awarded to successful applicant’s department.
A seminar will be organized, open to all teaching staff, to offer a comprehensive overview of this funding scheme. The seminar aims to provide information on key objective, funding amounts, eligibility and application process. Additionally, it will offer valuable advice on preparing a successful application and guide participants on planning exchange visits to enhance the scholarship of teaching at HKU, which is the aim of the scheme. The seminar will also showcase examples, on how this funding opportunity can be used by HKU teaching staff to share experience and to collaborate on teaching and curriculum development initiatives with overseas reputable universities through reciprocal visits.
We highly recommend that staff who are considering applying for the scheme to attend the seminar. It will be beneficial for staff who attended the last seminar but didn’t have sufficient time to establish overseas connections, as well as those who are planning ahead for next application cycle (having a Friday, October 9, 2026 closing date), would also find the seminar useful. If you are unsure whether the scheme align with your teaching innovations, or if you simply want to learn more about it, you are welcome to attend. For further information, please refer to the Circular on this scheme available at https://tl.hku.hk/staff/tefs/.
For information, please contact:
Ms. Canice MOK
Teaching and Learning Innovation Centre- 3917 6069
- tsmok@hku.hk