What if students choose to use generative AI: 3-year teaching reflection
Date & Time: Thursday, 12 December 2024 10:30a.m.-11:30a.m.Venue: Online through Zoom
Target: For staff and RPg students
Speaker: Dr. Danial CHANG
Speaker Bio:
Daniel Chang is a Lecturer in Education at Simon Fraser University. His scholarship combines composition studies, argumentation, multilingual student instruction, instructional design and technology. His primary interest lies in exploring how AI can serve as a tool to support students in developing self-regulated learning skills.
Abstract:
This seminar offers a three-year reflection on the speaker's experience teaching two undergraduate courses where students were allowed to incorporate AI into their coursework. Throughout this period, the speaker has encountered a range of student AI applications, from undisclosed usage to inadequately executed AI-generated submissions. The session will present real cases and reflections on navigating these challenges, focusing on addressing quality issues, fostering transparency, and managing grading dilemmas. Moving beyond theoretical discussions, this seminar aims to broaden theoretical understanding and provide actionable insights for educators facing similar situations. The speaker seeks to foster a collective dialogue on the practical implications of integrating Generative Artificial Intelligence (GAI) in education.
AI tools in education - "The AI Advantage: How to Use AI to Save Time, Reduce Stress, and Improve Student Outcomes"
Date & Time: Thursday, 6 March 2025 11:00a.m.-12:00 noonVenue: Online through Zoom
Target: For staff and RPg students
Speaker: Mr. HONG Tsz Lam, Samuel
Speaker Bio:
Mr. Hong Tsz Lam Samuel is a lecturer at the Centre of Learning, Teaching and Technology, The Education University of Hong Kong, specializing in AI and Digital Literacy, with expertise in big data analysis and computation. Recognized for his teaching excellence, he received the Excellence in Teaching Award for two consecutive years at Hong Kong Metropolitan University before joining EdUHK. Samuel has also been at the forefront of promoting the use of diverse AI tools for teachers in various educational institutions in Hong Kong.
Abstract:
Unlock the potential of AI to enhance your teaching and empower student success! This seminar provides teachers with the practical skills and knowledge to effectively and responsibly integrate AI into your classrooms. Discover how Magic School AI streamlines lesson planning, freeing up your time to focus on student interaction and personalized support. Explore Perplexity AI for reliable research, ensuring the accuracy and integrity of your curriculum with verifiable sources. Learn key evaluation criteria – learning alignment, ethics, and usability – to make informed decisions about AI tool selection and ensure a positive impact on student learning. Transform your classroom into a dynamic and engaging learning environment, enhance your teaching practice, and empower your students to thrive with AI you can trust.
AI tools in education - "AI Skills = Future Success: Get Ahead of the Curve in the Age of Artificial Intelligence"
Date & Time: Tuesday, 11 March 2025 11:00a.m.-12:00 noonVenue: Online through Zoom
Target: For staff and students
Speaker: Mr. HONG Tsz Lam, Samuel
Speaker Bio:
Mr. Hong Tsz Lam Samuel is a lecturer at the Centre of Learning, Teaching and Technology, The Education University of Hong Kong, specializing in AI and Digital Literacy, with expertise in big data analysis and computation. Recognized for his teaching excellence, he received the Excellence in Teaching Award for two consecutive years at Hong Kong Metropolitan University before joining EdUHK. Samuel has also been at the forefront of promoting the use of diverse AI tools for teachers in various educational institutions in Hong Kong.
Abstract:
This seminar is designed to introduce you to a suite of AI tools that can significantly streamline your learning process and boost your overall productivity. Imagine creating stunning, professional-quality presentations in seconds – that's the power of Gamma AI, which transforms your outlines or documents into visually engaging slides with incredible speed. You'll also learn to leverage Perplexity AI for reliable and efficient research, accessing credible sources and ensuring the accuracy of your academic work. More importantly, you'll gain the critical skills to identify, evaluate, and strategically use the right AI tools to enhance your learning, achieve your academic goals, and excel in a rapidly evolving educational landscape.
Unitree Go2 Introduction (Fundamental Skills) & Unitree Go2 Advanced Programming (Advanced Skills)
Date & Time: Tuesday, 1 April 2025 & Thursday, 3 April 2025 9:30a.m.-12:30p.m.Venue: C-LP-06, Block C, Tai Po Campus
Target: Year 3 and 4 students
Speaker: Mr. Jacky YAU
Speaker Bio:
Jacky Yau, Founder and Director of the Robot Institute of Hong Kong, is a seasoned robotics educator with over 20 years of experience in developing innovative STEM programs. He emphasizes hands-on learning and real-world application, collaborating with universities like The Education University of Hong Kong and Hong Kong Metropolitan University to prepare students for the evolving technological landscape.
Abstract:
In these classes, Mr. Jacky Yau will explore how the Unitree Go2 robot is transforming the landscape of robotics education. Participants will gain fundamental and advanced skills in operating and programming the Unitree Go2, fostering hands-on learning and critical thinking. Through immersive experiences, students will engage with quadruped robotics, develop autonomy in programming, and cultivate problem-solving abilities. Embracing the Unitree Go2 empowers learners to innovate and take ownership of their educational paths, shaping a dynamic future in technology.
Empowering Teaching and Learning with AI Literacy: Integrating AI Tools in STEAM courses
Date & Time: Thursday, 3 April 2025 2:30p.m.-3:30p.m.Venue: Online through Zoom
Target: For staff and RPg students
Speaker: Mr CHUI Hin Leung Mike
Speaker Bio:
Mr CHUI Hin Leung Mike is the senior lecturer in the Department of Mathematics and Information Technology. He is passionate about teaching Design and Technology, emerging technologies, and STEAM education, focusing on integrating 2D graphics and 3D technologies. He recently delved into AI's practical applications to boost teaching productivity and AI literacy.
Abstract:
This webinar delves into how AI tools can transform education by serving as teaching and learning companions within STEAM courses. It highlights practical uses of AI, such as ChatGPT and DeepSeek, for getting quick information, creating a summary from various resources, planning a lesson with structured activities, and creating varied assessments across STEAM subjects. The sharing emphasises the critical role of educators in reviewing Artificial Intelligence Generated Content (AIGC) in terms of accuracy, relevance, and alignment with educational goals. Additionally, it also includes the integration of AI to foster personalised learning in STEAM, helping students overcome learning challenges and take responsibility for their learning. This approach also aims to enhance AI literacy (AIL) among educators and students, preparing them for the future of STEAM education.
Demystifying AI in Education Practice from a Data Perspective
Date & Time: Tuesday, 15 April 2025 11:00a.m.-12:00 noonVenue: Online through Zoom
Target: For students
Speaker: Dr. YANG Yu
Speaker Bio:
Dr. Yang Yu is currently an Assistant Professor with LTTC at EdUHK. He received the Ph.D. degree in Computing from The Hong Kong Polytechnic University in 2021. Dr. Yang's research interests include big data analytics and AI with their applications in education, healthcare, and smart city.
Abstract:
As artificial intelligence (AI) reshapes education globally, its practical implementation often remains opaque to educators and learners. This seminar demystifies AI's mechanism from a data point of view and addresses how to optimize its performance in real-world educational contexts via data-driven approaches. By bridging technical principles and practical needs, this seminar aims to equip participants to harness AI's potential while navigating practical constraints, fostering smarter use of AI in teaching and learning practices.
Reimagining Next Generation Science Teaching and Learning through Human and AI Collaboration
Date & Time: Tuesday, 27 May 2025 10:30a.m.-11:30a.m.Venue: Online through Zoom
Target: For students
Speaker: Dr. LI Tingting
Speaker Bio:
Dr. Li is an Assistant Professor of Science Education at Washington State University. She earned a Ph.D. in Curriculum and Instruction (2022) and a second Ph.D. in Educational Psychology and Educational Technology (2024) from Michigan State University. Her research focuses on leveraging artificial intelligence (AI) to support equitable and innovative teaching and learning practices to support students' problem-solving abilities (e.g., knowledge-in-use, cognitive flexibility) and promoting student engagement and social-emotional learning. She has published in leading journals and holds multiple awards, including from the National Academy of Education and Microsoft.
Abstract:
What does it mean to engage artificial intelligence not merely as a tool, but as a collaborative partner in reimagining K–12 science education? This presentation draws on an interdisciplinary program of research exploring the evolving role of AI in supporting teachers' instructional and assessment practices. Grounded in theories of hybrid intelligence and distributed cognition, we investigate how human-AI collaboration can inform the design of culturally responsive, three-dimensional assessments, automate the analysis of student responses, and generate timely, actionable feedback to support teaching. In collaboration with the Microsoft AI for Good Lab, we are currently developing and testing an AI-empowered teaching and learning system. This system is being co-designed with educators to ensure its alignment with classroom realities and its responsiveness to diverse student needs. This presentation will share emerging insights and design principles from this ongoing work, highlighting how moments of tension between human reasoning and algorithmic output can open up generative spaces for innovation. Ultimately, we offer a vision for educator-centred, ethically grounded AI integration that advances equity and justice in science education.
The EdTech Circus: Don't Let the Shiny Gadgets Steal the Show!
Date & Time: Tuesday, 28 October 2025 10:30a.m.-11:30a.m.Venue: Online through Zoom
Target: For all academic/teaching staff
Speaker: Professor Ben Yui Bun CHAN
Speaker Bio:
Professor Ben, Y. B. Chan is currently the Associate Dean of Students, an Associate Professor in Engineering Education and the immediate past director of the University's Center for Engineering Education Innovation. Ben has worked extensively in Engineering Education related areas, and has been the recipient of numerous teaching excellence awards during his almost decade-long teaching at the University, including the 2024 UGC Teaching Award (Team Award), the Michael G. Gale Teaching Excellence Award 2025, the finalist of the QS Reimagine Education Award 2018 (Global), School of Engineering Teaching Excellence Appreciation Award in 2016, 2020 & 2024, etc. With over 15 years of experience in researching and practicing engineering education, Ben has published over 50 journals and conference papers (Education and Civil Engineering), mostly in the area of Technology-based Teaching Pedagogies, Cornerstone Design, Creativity and Innovativeness Development, Engineering Identity Development & Internationalization.
Abstract:
In today's rapidly evolving educational landscape, technology is often embraced with enthusiasm, yet its implementation in the classroom can sometimes lack purpose
and clarity. This seminar will critically examine the prevalent trend of utilising educational technology merely for its own sake, highlighting the potential pitfalls of such an approach. We will
delve into innovative examples of Augmented Reality (AR), Virtual Reality (VR), the Metaverse, Generative AI, and Virtual Production, showcasing how these tools can create immersive and interactive
learning environments that are unattainable through traditional methods.
By the end of this seminar, participants will gain insights into developing new teaching pedagogies that leverage technology not as a trend, but as a powerful ally in achieving educational objectives.
Design Thinking for Technological Innovation
Date & Time: Thursday, 6 November 2025 10:00a.m.-11:30a.m.Venue: C-LP-06, Block C, Tai Po Campus
Target: For students
Speaker: Dr. Jac LEUNG
Speaker Bio:
Dr. Jac Leung is a Lecturer in the Division of Integrative Systems and Design, Associate Program Director of the MSc on Technology, Leadership and Entrepreneurship program, and the Director of AI Literacy Hub at The Hong Kong University of Science and Technology (HKUST). He is dedicated to promoting human-AI collaboration and AI-assisted design thinking practices. One of his projects was shortlisted for the QS Reimagine Education Award 2024 under the category of Best Use of Generative AI, being ranked top 25% among over 1300 submissions. His research projects related to Generative AI in education, collaborative inquiry skills, metaverse, and sustainability education garner a sum of ~HKD18.6M.
Abstract:
What turns a spark of idea into a meaningful change? In this workshop, you'll explore how innovation and technology intersect in a fast-changing world. Using HKUST student projects as examples, we'll unpack design thinking as a human-centered approach to moving from idea to impact—and, ultimately, to entrepreneurship. You'll also learn how to balance the three pillars of successful innovation: user desirability, technological feasibility, and business viability, and how these factors reinforce one another in practice.
Designing and Refining Collaborative Generative AI Active Learning Activities Across Disciplines
Date & Time: Wednesday, 14 January 2026 2:15p.m.-3:30p.m.Venue: C-LP-06, Block C, Tai Po Campus
Target: For staff and postgraduate students
Speaker: Dr. Fridolin TING
Speaker Bio:
Dr Fridolin TING has taught university-level mathematics in Canada and Hong Kong for over 25 years. He was the PI of a UGC triennium 2016-19 teaching and learning project called the PALMS project which explored 13 active learning pedagogies and supporting apps to increase students' learning outcomes in STEM-related tertiary education and has won over ten local and international educational awards. He also was the PI for a QEF Project entitles "Developing Active Learning Pedagogies and Mobile Applications in Secondary School Mathematics Education", which involved nine secondary schools, 47 teachers and over 1800+ secondary school students. He was a finalist in Hong Kong's University Grants Committee (UGC) Teaching Awards (General Faculty) in 2021, won the President's Teaching Award at Poly U (2021), is the HKTEA CoP Leader in the "Innovation and Future of STEM Education" and has published over 20 articles in highly reputable educational and mathematical journals. He is actively exploring generative AI accompanies personalized and active teaching pedagogies in education implemented with an online chatroom integrated with multimodal LLMs+RAG, STEM friendly and gamified features called YoChatGPT!, which has recently garnered a Silver Award in the "Best Use of Generative AI" category at the 2025 Reimagine Education Conference and Awards.
Abstract:
Many educators want to harness generative AI's potential but struggle to move beyond traditional lecturing toward pedagogically sound AI integration.
This seminar, comprising two parts, will first profile the AI literacy and STEAM competency levels among teachers and students at EdUHK, based on findings from a two-year data collection
and analysis effort; then presents a practical, research-backed framework for designing Collaborative Generative AI (CoGenAI) activities—active learning strategies where students work in
class with AI as a thinking partner to deepen engagement with course content.
Drawing on pilots across STEM related, ECE, and Psychology subjects, we will introduce a universal CoGenAI prompt template that works across any discipline and technology platform.
Participants will experience hands-on prompt engineering for personalized learning and instructional design, explore active learning pedagogies enhanced by generative AI, and leave with
ready-to-pilot learning activities for their own courses.
Critically, designing AI-enhanced personalized and active learning activities is only the first step. Participants will learn to evaluate AI-generated pedagogical designs using TPACK
frameworks before classroom implementation, identifying gaps between theoretical soundness and practical feasibility. Finally, we'll explore iterative refinement strategies to ensure
AI-enhanced activities actually work in your teaching context, and not just on paper, through sharing of real pilot examples.
