Pre-conference Workshops
Date: Wednesday, 20 May 2026
Time: 10AM — 12PM (HKT)
Pre-conference Workshop 1
AI-Enabled Tools for Assessment, Engagement, and Learning Support
Speakers:
Mr Wik CHAN (Research Coordinator, uReply, Centre for Learning Enhancement And Research (CLEAR), The Chinese University of Hong Kong)
Mr Raven HON (Project Manager, Knowledge & Education Exchange Platform (KEEP), The Chinese University of Hong Kong)
Bio:
The uReply Team at CUHK's Centre for Learning Enhancement And Research strives to facilitate the transition from passive instruction to active, constructivist learning environments. Advancing pedagogical innovation, the team continuously evolves its platform beyond foundational polling to incorporate collaborative peer instruction, location-based experiential learning, and generative AI-enhanced feedback and assessment.
The KEEP Team at CUHK serves as a technological innovator in the e-learning space. Comprising specialists in digital learning and educational technology, the team develops scalable, data-driven e-learning solutions that support educators in delivering high-quality online and blended instruction.
Blurb:
Transform your classroom into a dynamic, data-informed learning environment!
The opening half of this hands-on workshop explores the intersection of educational theory and generative AI using uReply, a classroom response system developed at CUHK. Designed for higher education staff, the workshop employs a "pedagogical sandwich" approach that combines theory with practice. Participants will engage in interactive concept checks, use the AI question generator to instantly build formative assessments, and analyse intelligent reports to identify at-risk students. We will also step beyond classroom boundaries to immerse ourselves in experiential learning through a virtual field trip using uReply GO.
The concluding half of the workshop introduces additional AI-enabled learning tools, including Tellus to support competency-based interview rehearsal and structured presentation practice, as well as Socratic Tutor and AcademiChat to facilitate guided enquiry and deepen students' reflection on their learning.
Venue: Y301
Pre-conference Workshop 2
Developing GenAI-empowered Customised Workflows for Automatic Formative Assessment Generation
Speakers:
Dr Jiaxin Galaxy CAO (Educational Development Officer)
Mr Jiaoyang DING (Educational Development Officer)
(Centre for Learning, Teaching and Technology, The Education University of Hong Kong)
Bio:
Dr Cao Jiaxin Galaxy holds a Doctor of Philosophy (PhD) in Educational Technology. His research focuses on artificial intelligence in education. He has led the design and development of six educational platforms and authored more than 20 scholarly articles in SCI/SSCI-indexed journals and in prestigious international conference proceedings.
Mr Jiaoyang Ding's research interests include immersive learning environments, generative AI in education, robotics, and embodied intelligence. He has been involved in several projects related to the metaverse, CAVE, LLMs, and robotics, and has published on these topics. He also contributed to the development of innovative educational applications.
Blurb:
This workshop will guide participants in harnessing the potential of multimodal large language models (LLMs) to create personalised, GenAI-driven workflows. Participants will delve into practical techniques for constructing LLM-powered solutions on a Model-as-a-Service (MaaS) platform. Through hands-on activities, participants will develop a workflow that enables them to (1) generate quizzes based on preset topics and scopes, (2) collect students’ attempts on the quizzes, and (3) provide feedback and suggestions on further learning needs based on the quiz results. In addition to technical skills, the workshop will facilitate critical discussions on the responsible and societal implications of LLMs in education. Participants will explore the potential benefits and risks of these technologies, enabling informed decision-making and responsible implementation.
Venue: Y305
Pre-conference Workshop 3
Empowering Higher Education: Hands-on with Local GenAI Models for Innovative Teaching, Assessment, and Feedback
Speakers:
Mr Dick CHAN (Senior Educational Development Manager (Senior Learning Technologist)
Ms Ada TSE (Senior Educational Development Manager (Senior Analytics and Evaluation Specialist)
Dr Albert CHAN (Assistant Educational Development Manager)
Mr Ethan HUNG (Assistant Educational Development Manager)
(Educational Development Centre, The Hong Kong Polytechnic University)
Bio:
Dick Chan is Senior Educational Development Manager at The Hong Kong Polytechnic University, leading innovative teaching projects and developing impactful learning analytics tools. As Chair of the IEEE Hong Kong Section Education Chapter, he fosters collaboration and professional growth, advancing pedagogical practices and empowering educators through technology-driven solutions.
Ada Tse, the Senior Educational Development Manager at the Hong Kong Polytechnic University, is dedicated to leveraging diverse teaching data to enhance teaching quality and student learning experiences. She also plays a key role in supporting the university's ongoing efforts to improve teaching. Her research interests encompass learning analytics, student learning experience, teaching assessment and student competency evaluation.
Dr. Albert Chan, Assistant Educational Development Manager at the Hong Kong Polytechnic University, has over a decade of expertise in information and communication technology education. He currently specializes in professional development, student surveys, and the application of learning analytics. Dr. Chan has played an active role in a range of educational projects, and his research has been presented at numerous conferences and published in international journals.
Ethan Hung serves as Assistant Educational Development Manager at The Hong Kong Polytechnic University, specialising in education and IT development. He has led teams on rebuilding and enhancing systems for PolyU and IBM.
Blurb:
This interactive workshop empowers higher education professionals to harness the potential of local open-source large language models (LLMs) for innovative teaching and assessment. Participants will gain practical experience with Ollama using Open WebUI and interact with LLMs on their own devices. Participants will engage in hands-on activities for educational tasks, e.g. using LLM to evaluate student written assignment or generating descriptive summary on student performance statistics. A workshop will demonstrate how to conduct batch evaluation on student written assignments, showcasing how local GenAI tools can streamline feedback while maintaining data privacy. By the end, participants will be equipped with actionable strategies to integrate GenAI into their pedagogy, enhancing both teaching effectiveness and student learning outcomes in a secure and ethical manner.
Venue: Y303
Pre-conference Workshop 4
Institutionalising GenAI Literacy in General Education: Lessons from HKBU’s University-Wide Rollout
Speakers:
Dr Jacky CHAN (Lecturer, Department of Computer Science, Hong Kong Baptist University)
Professor Peter NELSON (Associate Director (Teaching and Learning) and Associate Professor, Academy of Visual Arts, Hong Kong Baptist University)
Dr Dimple R. THADANI (Senior Lecturer, Department of Management, Marketing and Information Systems, Hong Kong Baptist University)
Professor Yuner ZHU (Assistant Professor, Department of Interactive Media, Hong Kong Baptist University)
Bio:
Dr Jacky Chan is a Lecturer in the Department of Computer Science at HKBU. He received the St. Francis Teaching Excellence Award and, more recently, a 2025/26 General Education Teaching Award for his team's work in AI innovation. His research Interests include Computer Vision, Machine Learning, and Health Care Technology.
Prof. Peter Nelson is an Associate Professor and Associate Director of Teaching and Learning at the Academy of Visual Arts, HKBU. His research examines computer graphics, creative technology and robotics. As an administrator, he leads curriculum innovation, currently focusing on the pedagogical integration and institutional strategy of Generative AI.
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.
Prof. Yuner ZHU is an Assistant Professor at Hong Kong Baptist University. Her research interests include political communication, information governance, mass surveillance, and digital technology. She applies computational and experimental methods to investigate large-scale datasets to understand how the general public perceives and reacts to political events through their use of digital communication technologies.
Blurb:
Building GenAI Literacy at Scale: HKBU’s Year 1 GE Experience
HKBU scaled the GTXX2805 pilot into a core Year 1 GE course for ~2,000 students. This hands-on workshop unpacks the design of GFAI1005—its four pillars (fundamentals, practical tool use, ethical awareness, human agency), flipped delivery, and assessment—and translates them into practical steps for your context. Through short cases and guided activities, participants will complete a rapid context audit (policy, tool access, cohort, staffing), draft a student facing AI use statement (permitted uses, disclosure, privacy, integrity), and outline one mini module—video+question, inclass activity, hands on lab, and debate/scenario—with aligned outcomes and assessment. We will also address operations at scale (staffing ratios, scheduling ~40 sections, moderation/QA, evaluation) and common pitfalls. You will leave with a concrete action plan that is ready to adapt to your institution.
Venue: Y304