Leading Programmes for Student Success and Building Evidence for Leadership Impact

Event Details

Date : 6 May 2025 (Tuesday)

Time : 12:30pm – 2:00pm

Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Facilitator : Prof. Lily Zeng, Assistant Professor, TALIC, HKU

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Abstract

How can we harness student experiences to enhance their achievement? What opportunities lie within our programmes to elevate learning, engagement, and graduate outcomes? How can we accumulate evidence for our initiatives to gain international recognition for our leadership in teaching and learning? Drawing on evidence from five Hong Kong universities, this workshop is designed specifically for current and aspiring programme directors.
Together, we’ll:
  • Unpack the student journey – What truly shapes their learning, skills, and success?
  • Spotlight what works – Through real scenarios, uncover high-impact practices from across institutions.
  • Design for impact – Rethink programme elements—from curriculum to students’ wider university experience—to boost student attainment of educational aims.
  • Build your leadership profile – Develop strategies to champion the changes you initiate and build cases for leadership in teaching and learning in higher education.
You will leave with a review of your programme, peer-tested ideas to lead your programme, and a plan to evidence your leadership for international recognition.

About the Speaker

Prof. Lily Zeng is an Assistant Professor at the Teaching and Learning Innovation Centre and Faculty of Education. She had taken on leadership roles in coordinating and delivering the key professional development programmes at HKU and spearheaded the creation of a well-received MOOC on university teaching. At TALIC, her current roles majorly include teaching in the Postgraduate Certificate programme for HKU teachers and overseeing the Senior Fellowship category within HKU AHE Fellowship Scheme. She also provides consultations on student engagement, assessment, peer review of teaching, and teaching portfolios.
For information, please contact:

Ms. Canice MOK

Teaching and Learning Innovation Centre

AI Ethics in Teaching and Learning Symposium

Event Details

Date : 29 Apr 2025 (Tue)

Time : 2:00pm – 5:00pm

Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Speakers & Panellists:

  • Prof. Herman Cappelen, Chair Professor, Department of Philosophy, School of Humanities, HKU
  • Prof. Cecilia Chan, Professor, TALIC, HKU
  • Dr. John Fung, Senior Lecturer, School of Nursing, Li Ka Shing Faculty of Medicine, HKU
  • Dr. Wilson Kwok, Associate Director (CIO and Librarian Office), Information Technology Services, HKU
  • Mr. Brian Tang, Principal Professional Practitioner, Faculty of Law, HKU
  • Ms. Stephanie Biedermann, Senior Lecturer, Faculty of Law, HKU
  • Ms. Nicole Lau, Assistant Lecturer, Department of Psychiatry, School of Clinical Medicine, HKU

MC : Dr. Jessica To , Lecturer, TALIC, HKU

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Symposium Abstract

As Generative AI (GenAI) continues to evolve and integrate into the educational landscape, academics are facing a higher risk of plagiarism and students’ improper use. It is imperative for us to understand the ethical implications of GenAI use in education. This symposium aims to elevate higher education professionals’ awareness about the ethical implications of GenAI and to explore strategies for fostering academic integrity. The symposium will feature talks by distinguished speakers offering insights into the ethical use of GenAI in educational settings. Following the enlightening talks, there will be a panel discussion delving into the complexities of maintaining academic integrity in higher education. Panellists will share their experiences and discuss strategies for promoting academic integrity. This interactive session will provide participants with practical approaches to safeguarding academic honesty and fostering a culture of integrity within HKU.

AI in Teaching and Learning: An Ethical Framework

This talk presents a unified framework for evaluating the ethical use of Artificial Intelligence in teaching and learning. It begins with a goal-relativistic characterization of ethics and then shows how this approach can both articulate and resolve pressing ethical questions regarding the role of AI in education.
Speaker
Professor Herman Cappelen is a philosopher. He currently works as a Chair Professor of philosophy at the University of Hong Kong. Before moving to Hong Kong, he worked at the Universities of Oslo, St Andrews, and Oxford. Since 2008, he has been an elected fellow of the Norwegian Academy of Science and Letters. And since the same year, he has been an elected member of the Academia Europaea. Professor Cappelen is also the Director of AI&Humanity-Lab@HKU, and co-director ConceptLab Hong Kong. He is serving as the Editor-in-Chief of Inquiry: An Interdisciplinary Journal of Philosophy. His current research focus is on the philosophy of AI, Conceptual Engineering, and the connections between those two. However, his philosophical interests are broad – they cover more or less all areas of systematic philosophy. His ten monographs provide a good overview of the kinds of issues he has been, and is still interested in, including:
  • Making AI Intelligible (w. Josh Dever, OUP 2021, Open Access) is a book about how to use externalist theories in metasemantics to interpret and communicate with AI.
  • Fixing Language: An Essay on Conceptual Engineering (OUP 2018, Open Access) develops an account of how externalists should think of conceptual engineering, argues that all of philosophy involves conceptual engineering, and also shows that conceptual engineering is almost impossibly difficult.
  • Josh Dever and himself have written a series of three introductory books to philosophy of language. The series is called Contemporary Introductions to Philosophy of Language. The three books are called: Context and Communication (OUP 2016), Puzzles of Reference, (OUP 2018), and Bad Language, (OUP 2019).
  • The Inessential Indexical (w. J. Dever, OUP 2014) is an exploration and defence of the view that perspectivality is a philosophically shallow aspect of the world. The authors argue that there are no such things as essential indexicality, irreducibly de se attitudes, or self-locating attitudes.
  • Philosophy without Intuitions (OUP 2012) is about the nature of philosophy and philosophical methodology.
  • Relativism and Monadic Truth (w J. Hawthorne, OUP 2009) is an argument against relativism about truth and in favor of the view that truth is a monadic property.
  • Language Turned on Itself (w. E. Lepore, OUP 2007) is about meta-linguistic discourse and various form of quotation: how language can be used to talk about language.
  • Insensitive Semantics (w. E. Lepore, Blackwell 2004) is about the ways in and extent to which meaning and interpretation is context sensitive. It is also about what contexts are and what it is to be in on. The book develops and defends two now influential theories: semantic minimalism and speech act pluralism.

AI-giarism in Education: Rethinking Assessment in the Age of Generative AI

As generative AI tools become increasingly accessible to students, educators face new challenges in maintaining academic integrity and designing meaningful assessments. This seminar explores the concept of AI-giarism—the misuse of AI to produce academic work—and its implications for current assessment practices. Drawing on real-world student experiences and emerging research, we will examine the blurred boundaries between support and dishonesty, and how institutions can respond with thoughtful, future-ready assessment designs. Join us to discuss practical strategies for mitigating AI misuse while embracing its potential to enhance learning and creativity.
Speaker and Panellist
Professor Cecilia K. Y. Chan is a Professor in the Faculty of Education and the Teaching and Learning Innovation Centre (TALIC). She has been playing a key role in enhancing engineering and science education, as well as teaching and learning in higher education. Her combined expertise in these fields and multi-cultural experience enabled her to lead and conduct research on topics such as assessment and feedback, experiential learning, technology enhanced learning, artificial intelligence in education and the development and assessment of 21st century skills spanning in education from east to west.

Transforming Healthcare Education and Practice with Generative AI: Insights from Simulation and Real-World Applications

The integration of Generative Artificial Intelligence (GenAI) into healthcare education and practice is transforming the landscape of medical training and patient care delivery. This keynote will delve into the transformative potential of GenAI, focusing on its applications in patient simulation and the ethical considerations associated with its use.

Dr. John Tai Chun Fung, a Senior Lecturer at the University of Hong Kong’s School of Nursing, will share insights from his extensive research on GenAI’s role in enhancing graduate medical education. He will highlight how GenAI facilitates personalized learning experiences, simulates real-world scenarios, and enhances communication skills. Dr. Fung will discuss how GenAI patient simulation improves clinical competence and confidence among healthcare professionals, citing his recent trial that demonstrated significant improvements in clinical competence and cultural awareness among participants.

The presentation will also explore examples from Dr. Fung’s work on GenAI patient simulation, illustrating both the opportunities for improving patient outcomes and the ethical challenges that must be addressed. Join us for a thought-provoking discussion on how GenAI can be ethically leveraged to advance healthcare education and patient care, while navigating potential pitfalls and ensuring the development of equitable and safe AI applications in medicine.

Speaker and Panellist
Dr. John Tai Chun Fung is a Senior Lecturer at the School of Nursing, Li Ka Shing Faculty of Medicine. He is the Associate Program Director of Bachelor of Nursing Programme (Part-Time) for Registered Nurses and the Chair of Quality and Safety Education Subcommittee. He is also the first accredited simulation educator in Hong Kong within the Association for Simulation Practice in Healthcare. He has received multiple teaching awards, for example 2024 UGC Teaching Award (General Faculty Member) Finalist, 2023 Outstanding Teaching Award (Individual), and 2023 Teaching Innovation Award (Team Leader).
Panellist

Dr. Wilson Kwok is an Associate Director at The University of Hong Kong. Prior to joining the University, he looked after the eLearning development and teacher training for five years in a public organization which had over 2,000 staff teaching in 30 member institutions. Under the co-branding strategy of the University Libraries and Information Technology Services, he currently holds key responsibilities in the development and support of hybrid learning, platforms, teaching spaces as well as e-assessment at institutional level.

Panellist
Mr. Brian Tang is a Principal Professional Practitioner in the Faculty of Law. He is the Executive Director of LITE Lab@HKU, the new interdisciplinary and experiential programme to foster law, innovation, technology and entrepreneurship (LITE) led by HKU’s Faculty of Law in conjunction with the Department of Computer Science. Brian is a frequently invited international speaker on his practice and research areas of law and innovation, capital marketplaces, regtech, lawtech, AI governance, virtual assets and future skills. He and his work were featured on CNBC’s Learning Curve Series and in Diana Wu’s book Future Proof: Reinventing Work In the Age of Acceleration (2019).
Panellist
Ms. Stephanie Biedermann is a Senior Lecturer in the Faculty of Law. She specializes in international law, immigration, forced migration, and discrimination issues, particularly for refugees, asylum-seekers, and migrant workers. Her legal experience includes work in the US, the Middle East, and Hong Kong, with a focus on public interest law and access to justice issues.
Panellist
Miss Nicole Lau is an Assistant Lecturer in the Department of Psychiatry, dedicated to creating innovative and interactive teaching and learning experiences in higher education. Her passion for integrating artificial intelligence (AI) into academic settings drives her exploration of its diverse applications, including AI-powered student enquiry management systems, databases, and the effective incorporation of AI into Common Core Courses.
Recently, she initiated a Teaching Development Grant (TDG) program focused on utilizing AI to assist students in writing eBooks. This initiative supports students in various aspects of the writing process, including brainstorming ideas, conducting research, and enhancing their digital literacy. Furthermore, Miss Lau is at the forefront of integrating AI to help students comprehend and engage with emotional topics in a newly established Common Core AI course.
For information, please contact:

Ms. Miffy LEUNG

Teaching and Learning Innovation Centre

GenAI / EdTech for All – A Toolkit Series (Spring 2025)

Event Details

Date : 6 Feb (Thu), 13 Feb (Thu), 17 Feb (Mon), 27 Feb (Thu), 27 Mar (Thu) & 15 Apr (Tue) 2025

Time : Varies

Venue : Varies

Speakers:

  • Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU
  • Ms. Ellen Seto, Senior Lecturer / Senior Instructional Designer, TALIC, HKU
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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.

Date : 6 Feb 2025 (Thu)

Time : 12:30pm – 1:45pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Workshop coverage

  • HKU ChatGPT services features and updates
  • Prompt engineering basics
  • Usage examples in teaching and learning

Date : 13 Feb 2025 (Thu)

Time : 12:30pm – 1:30pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Workshop coverage

This workshop aims to help participants who do not have professional knowledge create impressive videos.
  • All-in-one video editing tool with numerous features.
  • Hands-on session covering basic and intermediate video editing techniques.

Date : 17 Feb 2025 (Mon)

Time : 12:30pm – 1:30pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Workshop coverage

This workshop is designed to assist participants in creating a talking head video featuring a customized AI Avatar using HeyGen, applicable in various scenarios.
  • Generating your AI Avatar and important considerations.
  • Producing a talking head video with your avatar.
  • Exploring the potential of the HeyGen API.

Date : 27 Feb 2025 (Thu)

Time : 12:30pm – 1:30pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Date : 27 Mar 2025 (Thu)

Time : 12:30pm – 1:30pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Workshop coverage

Explore the fascinating world of text-to-image generation at our workshop. Discuss the DALL·E service offered by HKU and gain insights into the fundamentals of prompt writing for creating stunning images from text.”

This workshop covers:

  1. Introduction on the DALL·E service provided by HKU
  2. Sharing on basic prompt writing on text-to-image generation

Date : 15 Apr 2025 (Tue)

Time : 12:30pm – 2:00pm (HKT)

Venue : Multi-purpose Area (MPA), 2/F, Main Library, HKU

This workshop is co-organized by HKU Libraries and TALIC.

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Abstract

This workshop explores the potential of developing simple online games for educational purposes using Cursor AI (https://www.cursor.com/), an advanced code generation tool. By integrating Cursor AI into the game development process, educators and developers can create interactive and engaging learning experiences more efficiently. Cursor AI’s intelligence algorithms facilitate the generation of accurate code snippets, automate repetitive tasks, and offer real-time feedback, reducing development time and minimizing errors. These capabilities allow developers to concentrate on designing educational content and gameplay mechanics. The result is an innovative approach to teaching and learning, where students can benefit from immersive, interactive, and enjoyable educational games. No coding experience is needed! However, having the foundation of basic web development familiarity (HTML, CSS, or Javascript) will help understand and implement the concepts covered.
For information, please contact:

Ms. Miffy LEUNG

Teaching and Learning Innovation Centre

Extending the Classroom: Teaching with Virtual Reality in Higher Education

Event Details

Date : 14 Apr 2025 (Mon)

Time : 12:00pm – 1:30pm

Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Speaker : Prof. Peter J. Cobb, Assistant Professor, School of Humanities, Faculty of Arts, HKU

Facilitator : Prof. Lillian Luk, Assistant Professor, TALIC, HKU

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Video Recording
Presentation File

Abstract

Have you been thinking about experimenting with Virtual Reality (VR) teaching in your classroom? Join us for a discussion about what we have learned from our use of VR to teach about the human past. This seminar will examine how VR can enhance student engagement, foster spatial and visual learning, and provide immersive, hands-on experiences that may be lacking in traditional teaching methods. As technology continues to advance, it is essential that we examine and discuss both the fascinating theoretical foundations and the broad practical applications of VR in the classroom.

This seminar will be guided by insights from our pedagogical research. We will discuss VR’s role in teaching archaeology, particularly how it enables students to interact with 3D reconstructions of ancient sites, improving their spatial awareness and comprehension of past physical contexts. By immersing students in digital environments, VR can replicate aspects of fieldwork, making archaeological education more accessible and inclusive. We will also present some theoretical underpinnings of VR in education, emphasizing embodied and experiential learning, as well as spatial and visual learning. VR enhances cognitive engagement by allowing students to move through virtual spaces, manipulate digital objects, and develop a deeper understanding of complex subjects.

We will touch briefly on the use of VR in education beyond archaeology. From architecture and science to engineering and medical training, VR offers a dynamic approach to learning that bridges the gap between theoretical knowledge and real-world applications. However, integrating VR into the curriculum presents several challenges, including technological barriers, costs, and accessibility concerns. We will discuss these limitations and explore potential solutions for making VR a more feasible and effective tool for educators. During the event, there will be demonstrations of VR usage in educational settings and participants will have a chance to try our VR headsets with their immersive tours.

By the end of the event, the goal is for attendees to enhance their understanding of the educational value of VR and develop practical strategies for incorporating it into their own teaching. Whether you are new to VR teaching or are already experimenting with its application, this seminar will provide a place to discuss how immersive technology can transform the ways we teach and learn. We look forward to an engaging conversation and the opportunity to collectively reimagine the future of education through VR.

About the Speaker

Prof. Peter J. Cobb is an assistant professor in the School of Humanities in the HKU Faculty of Arts who researches archaeology and digital humanities. He has conducted archaeological fieldwork in Armenia, Laos, and Turkey, focusing on the Late Bronze and Iron Ages (1600 BCE–600 CE) in the Eastern Mediterranean and Southwest Asia. As the director of the Ararat Plain Southeast Archaeological Project (APSAP), he collaborates with the Armenian Institute of Archaeology and Ethnography, applying digital methods like 3D spatial data collection and data science to analyze ancient material remains. Prof Cobb teaches courses on archaeological methods, theories, and the ancient world, including an experiential learning field school in Armenia. He also serves as Deputy Director of the BA program in Humanities and Digital Technologies at HKU.
For information, please contact:

Ms. Miffy LEUNG

Teaching and Learning Innovation Centre

History-Informed Professional Identity Formation in The East

Event Details

Date : 11 April 2025 (Friday)

Time : 11:00am – 12:00pm

Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Speakers :

  • Dr. Zohar Lederman, Clinical Practitioner, Department of Emergency Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, HKU
  • Ms. Serena Yu, Year 4 MBBS student, Li Ka Shing Faculty of Medicine, HKU

Facilitator : Prof. Lillian Luk, Assistant Professor, TALIC, HKU

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Video Recording
Presentation File by Dr. Zohar Lederman

Abstract

The recently published Lancet Commission on Medicine, Nazism, and the Holocaust recommends adopting the paradigm of history-informed professional identity in medical school curricula worldwide. It specifically laments the lack of attention of medical schools to the atrocities committed by Nazi healthcare professionals, and argues that including issues of medicine during the Holocaust will contribute, and is in fact imperative to medical professional development.

This project finds merit in the Commission’s work and conclusions, but is at the same time motivated by the Commission’s neglect of similar atrocities committed by a group of Japanese healthcare professionals in Manchuria during WWII. Unit 731 has conducted horrific experiments in hundreds of thousands un-consenting Chinese citizens and prisoners of war, and unlike their Nazi counterparts, received full immunity from, and a safe haven in the USA. Yet, this history seems to be absent from the medical curricula of medical schools across Asia, including HKU.

This project aims to amend this gap, starting from HK. This project seeks to empower medical and non-medical students to become emissaries of history-informed professional identity formation at HKU MED and HKU generally. Together with the PI and Co-Is, they will be expected to develop and implement a program to teach research ethics and professionalism initially across HKU through historical case studies such as the Nazi Experiments and the operations of Unit 731.

The project consists of an online course with short, digestible videos, (akin to reels on Instagram and shorts on YouTube) that aims to communicate key information in an appealing, relevant, and effective manner to students. Each video last 2-3 minutes an includes audiovisual materials, featuring one of more of the team members, possibly with external guests.

This project is carried for students by students. Hopefully, content from this project as well as reflection and testimonials from the team members will be incorporated into the Medical Ethics and Law (MEL) course component in the pre-clinical years of the MBBS curriculum, particularly to reflect the importance for medical students to learn about historical misalignments with research ethics, as well as the correct approach to learning about these examples to cultivate appropriate scientific behaviour among future healthcare professionals. The project eventually aims to foster active learning and encourages input from participating students, especially their reflections and feedback that reflects the process of moral development through teaching, which in turns shapes the project according to the needs of students from a peer perspective.

About the Speakers

Dr. Zohar Lederman is an emergency medicine physician with a PhD in bioethics from the National University of Singapore and formal undergraduate training in the humanities with a focus on philosophy. He is currently Clinical Practitioner in the Department of Emergency Medicine at the University of Hong Kong. Whenever not hiking or running, Zohar researches several topics in bioethics including loneliness and One Health Ethics. His work has been published in the top bioethics journals including the Journal of Medical Ethics, Bioethics, and Public Health Ethics.
Ms. Serena Yu is an MBBS IV student at the University of Hong Kong with an intercalated Masters of Science in Bioethics degree at Harvard University. While still exploring her clinical interest, she spends time in research about medical ethics education, neuroethics and medico-legal issues.
For information, please contact:

Ms. Miffy LEUNG

Teaching and Learning Innovation Centre

Harnessing GenAI for Teaching and Learning: Case Studies of Effective Practices

Event Details

Date : 3, 10, 16 and 25 April 2025

Time : 12:30pm – 1:45pm (HKT)

Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Facilitator: Dr. Jessica To, Lecturer, TALIC, HKU

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Abstract

Following the remarkable success of the GenAI Discussion Forum Series in October 2024, TALIC will be hosting the second discussion forum series in April 2025 to continue the institutional-wide dialogue about leveraging GenAI in the classroom. Colleagues from various faculties and academic units will share their effective use of GenAI in teaching, learning and assessment, with the aim of inspiring participants to optimise their pedagogical designs and practices with suitable GenAI tools. From the sharing sessions in four consecutive weeks, participants could learn about innovative utilisation of ChatGPT, Midjourney and other GenAI tools, discipline-specific applications of AI-powered virtual reality simulation, and AI corpus. The sharing sessions will provide HKU colleagues with a platform for dissemination of good practices, knowledge exchange and network building.

Date : 3 Apr 2025 (Thu)

Time : 12:30pm – 1:45pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Speakers :

  • Prof. Christophe Coupé, Assistant Professor & Programme Director of Bachelor of Arts in Humanities and Digital Technologies, Department of Linguistics, Faculty of Arts, HKU
  • Mr. Francisco Cevallos Barragan, Lecturer, Department of Landscape Architecture, Faculty of Architecture, HKU
  • Dr. Toby Lai, Assistant Lecturer, Faculty of Science, HKU

Facilitator : Dr. Jessica To, Lecturer, TALIC, HKU

Video Recording
Presentation File by Prof. Christophe Coupé
Presentation File by Mr. Francisco Cevallos Barragan
Presentation File by Dr. Toby Lai
Sharing Session 1

Can ChatGPT help me grade reflective diaries? Some initial experiments

Prof. Christophe Coupé is an Assistant Professor in the Department of Linguistics at HKU. His research and teaching revolve around the use of natural language processing (especially generative AI), machine learning and data science to study languages, animal communication and literature. He is currently the Director of the Bachelor of Arts in Humanities and Digital Technologies.

Sharing Session 2

Midjourney for developing design concepts integrating physical models

Mr. Francisco Cevallos Barragan is a Lecturer in Landscape Architecture teaching courses on history and theory and design studios for the undergraduate and graduate programmes at the Faculty of Architecture. His current focus is on applying AI-aided methods in design education to enhance reflective learning and creativity.
Sharing Session 3

Enhancing learning experiences via GenAI in Common Core courses

Dr. Toby Lai (FHEA) graduated from The Chinese University of Hong Kong and was trained as an experimental physicist at Osaka University, Japan. He joined HKU as an Assistant Lecturer in the Faculty of Science in 2022. He mainly teaches science-related Common Core courses and is interested in integrating interactive tools into classes, such as GenAI and experimental demonstrations.

Date : 10 Apr 2025 (Thu)

Time : 12:30pm – 1:30pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Speakers :

  • Prof. Lily Zeng, Assistant Professor & Coordinator (Advance HE Fellowship Scheme (Senior Fellowship)), TALIC, HKU
  • Dr. Benney Wong, Lecturer, School of Nursing, LKS Faculty of Medicine, HKU
  • Dr. Maggie Chan, Senior Teaching Fellow, School of Nursing, PolyU
  • Dr. Carson Hung , Lecturer / E-learning Technologist, Teaching and Learning Innovation Centre, HKU

Facilitator :

  • Dr. Jessica To, Lecturer, TALIC, HKU
Video Recording
Presentation File by Prof. Lily Zeng
Presentation File by Dr. Benney Wong & Dr. Maggie Chan
Presentation File by Dr. Carson Hung

Sharing Session 1

Creating H5P content with AI for adaptive learning

Prof. Lily Zeng is an Assistant Professor at Teaching and Learning Innovation Centre and Faculty of Education. She had taken on leadership roles in coordinating and delivering the key professional development programmes at HKU and spearheaded the creation of a well-received MOOC on university teaching. At TALIC, her current roles majorly include teaching in the Postgraduate Certificate programme for HKU teachers and overseeing the Senior Fellowship category within HKU AHE Fellowship Scheme. She also provides consultations on student engagement, assessment, peer review of teaching, and teaching portfolio.
Sharing Session 2

Leveraging artificial intelligence (AI)-powered virtual reality (VR) simulation to enhance nursing students’ self-efficacy and communication skill competence in clinical handover

Dr. Benney Wong is currently a lecturer at the School of Nursing. He has extensive experience in simulation-based nursing education and has been involved in various projects that utilise innovative technology to enhance nursing students’ learning. With his expertise in simulation education, he has designed multiple simulation activities that strengthen students’ critical thinking skills, effectively preparing them for clinical practicums and fostering a deeper understanding of nursing practices.
Dr. Maggie Chan is a Senior Teaching Fellow at the School of Nursing, The Hong Kong Polytechnic University. With extensive expertise in healthcare simulation, she leads innovative simulation-based education projects and curriculum development. Her work advances simulation pedagogy and evaluates simulation effectiveness in nursing education.
Dr. Carson Hung is a Lecturer / E-learning Technologist at TALIC, specialising in leveraging cutting-edge technologies such as AR/VR, AI, and games to enhance student engagement. With extensive experience in EdTech projects, he is passionate about using innovative solutions to enhance students’ learning experience.

Date : 16 Apr 2025 (Wed)

Time : 12:30 pm – 1:45 pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Speakers :

  • Dr. Lisa Cheung, Senior Lecturer, Centre for Applied English Studies, Faculty of Arts, HKU
  • Dr. Elizabeth Ka Yee Loh, Assistant Professor, Faculty of Education, HKU
  • Dr. Carson Hung, Lecturer / E-learning Technologist, Teaching and Learning Innovation Centre, HKU
  • Dr. David Villena, Assistant Lecturer, Department of Philosophy, Faculty of Arts, HKU

Facilitator : Dr. Jessica To, Lecturer, TALIC, HKU

Video Recording
Presentation File by Dr. Lisa Cheung
Presentation File by Prof. Elizabeth Ka Yee Loh
Presentation File by Dr. David Villena
Sharing Session 1

The secret behind CorpusChat: Discipline-specific Corpora

Dr. Lisa Cheung, Ph.D., is a Senior Lecturer at the Centre for Applied English Studies, The University of Hong Kong. She is a recipient of the University’s Outstanding Teaching Award (2022) and the Faculty of Arts’ Teaching Excellence Award (2018-19). With expertise in Corpus Linguistics, she has been actively involved in the teaching of a range of postgraduate and undergraduate English enhancement courses on academic and professional communication.
Sharing Session 2

GenAI in Education: Transforming Lesson Planning for Tomorrow’s Teachers

Prof. Elizabeth Ka Yee Loh is an Assistant Professor and the Director of Double Degree programmes at the Faculty of Education. She is also the Adjunct Professor at the Language and Literature Education Faculty, Indonesia University of Education.

Her research focuses on teaching Chinese as a first (L1) and second language (L2) to K-12 learners, with an emphasis on innovative pedagogy and GenAI. Her recent studies explore the use of GenAI in daily classroom language teaching and learning.

Prof. Loh’s research has been published in esteemed journals such as Learning and Instruction, System, Asia-Pacific Education Research, Current Psychology. She has secured funding from organisations including UGC, Language Fund of SCOLAR, the Education Bureau and the SIE Fund of the Hong Kong SAR Government, UBS Optimus Foundation etc. Dr. Loh also serves on the editorial boards of Learning and Instruction and CASLAR journals.

Funded by TSSSU@HKU in 2018, she is the co-founder and CEO of “mLang”, a registered social enterprise dedicated to providing educational technological solutions to facilitate student learning and offer equal learning opportunities to underprivileged students.

Prof. Loh teaches courses in Chinese language pedagogies for L1 and L2 students, children’s literature and creative writing, drama appreciation and teaching. She regularly conducts professional development workshops for in-service Chinese teachers preparing to work with multilingual learners locally and regionally.

Dr. Carson Hung is a Lecturer / E-learning Technologist at TALIC, specialising in leveraging cutting-edge technologies such as AR/VR, AI, and games to enhance student engagement. With extensive experience in EdTech projects, he is passionate about using innovative solutions to enhance students’ learning experience.
Sharing Session 3

GenAI and Academic Integrity: Ethical Challenges, Practical Approaches, and Responsible Strategies

Dr. David Villena is teaching Theories of Morality this term and has previously taught The Philosophy of AI and The Ethics and Philosophy of Digital Technologies. He works for the Master’s in AI, Ethics and Society at HKU and has extensive experience designing and facilitating courses on public sector ethics for civil service officials. More information about Dr. Villena is available on his website.

Date : 25 Apr 2025 (Fri)

Time : 12:30pm – 1:45pm (HKT)

Venue : Learning Lab (RRS 321 Run Run Shaw Building, Main Campus, HKU)

Speakers :

  • Dr. Vincent Tam, Principal Lecturer, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
  • Dr. Albert Lee, Lecturer, Department of Electrical and Electronic Engineering, Faculty of Engineering, HKU
  • Dr. Johnson Chun Sing Cheung, Senior Lecturer, Department of Social Work and Social Administration, Faculty of Social Sciences, HKU
  • Ms. Cindy Liang, Learning Experience Instructor, Learning and Research Services team, HKU Libraries, HKU

Facilitator : Dr. Jessica To, Lecturer, TALIC, HKU

Video Recording
Presentation File by Dr. Vincent Tam & Dr. Albert Lee
Presentation File by Ms. Cindy Liang
Sharing Session 1

A Generative-AI Chatbot enhanced by a flexible knowledge base and student engagement to enrich teaching and learning

Dr. Vincent Tam is a Principal Lecturer in the Department of Electrical and Electronic Engineering, Faculty of Engineering. He was awarded with the Faculty Best Teacher Award (2010, 2017 & 2022), Faculty Outstanding Teaching (Team) Award (2013 & 2019), and the Fellowship (FHEA) of the AdvanceHE (2019).
In 2014, Dr. Albert Lee joined the University of Hong Kong (HKU) as a Research Associate and Post-doctoral Fellow. In 2020, he became a full-time Lecturer with the Department of Electrical and Electronic Engineering. He received the Faculty Outstanding Teaching Award (Team Award) – Teaching Innovations in E-learning 2023-24.
Sharing Session 2

A Cross-Disciplinary Application of Generative Artificial Intelligence (GenAI) in Innovating Simulation-based Learning of Social Casework

Dr. Johnson Chun Sing Cheung is a Senior Lecturer at the Department of Social Work and Social Administration. He is the Consultant of the Society for Innovation and Technology in Social Work (SITSW) and keen to promote the adoption of innovation and technology in social work practice and education.
Sharing Session 3

AI Literacy for U: A New Chapter in Information Literacy at HKU Libraries

Ms. Cindy Liang is a Learning Experience Instructor of the Learning and Research Services team at HKU Libraries. She is committed to supporting students’ learning and research by exploring the use of EdTech and Generative AI. With a background in instructional design and e-learning technologies, she actively explores innovative approaches to integrate Generative AI into academic settings and collaborates with colleagues and departments to develop AI literacy initiatives.
For information, please contact:

Ms. Miffy LEUNG

Teaching and Learning Innovation Centre

Teaching Exchange Fellowship Scheme Seminar – Enhancing Internship Practices: Insights from Waterloo’s Work Integrated Learning Model

Event Details

Date : 28 March 2025 (Friday)

Time : 12:00pm – 1:00pm

Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Speaker : Ms. Elsa Lam, Director of Experiential Learning, Faculty of Social Sciences, HKU

Discussant : Ms. Joyce Fung, Assistant Lecturer, Faculty of Social Sciences, HKU

Facilitator : Prof. Lily Zeng, Assistant Professor, TALIC, HKU

Register

Abstract

Work Integrated Learning (WIL) and cooperative education are vital components of contemporary higher education. Understanding successful frameworks and implementation strategies is crucial for enhancing internship programs and student learning outcomes.

In this seminar, the speakers will discuss insights from the Teaching Exchange Fellowship at the University of Waterloo. The visit includes discussions with 15 teaching staff from 11 departments and interactions with co-op students, emphasizing student preparation, employer engagement, and support for students with special needs. The key insights and potential applications of Waterloo’s successful cooperative education model, which serves over 26,000 students and 8,000 employers, will be examined to enhance internship practices at HKU’s Faculty of Social Sciences.

About the Speaker

Ms. Elsa Lam is a senior lecturer and the Director of the Experiential Learning Team at the Faculty of Social Sciences. In her role, she is responsible for creating and managing both local and non-local experiential learning opportunities, for the social innovation and global citizenship program. Her teaching research, supported by the teaching development grant, focuses on several key areas: ethical overseas community engagement, the role of community partners as co-educators, global citizenship at home, and the development of inclusive internships.

About the Discussant

Ms. Joyce Fung is an Assistant Lecturer (Experiential Learning) at the Faculty of Social Sciences. Prior to joining the team, she gained diverse experiences as a management trainee, research assistant, teaching assistant and NGO program in charge. Joyce is also the co-founder of Free Periods Hong Kong, a registered charity dedicated to addressing period poverty. Her passion for menstrual education and combating period poverty originated from her Sociology final-year capstone project at HKU. Her current responsibilities include developing career programmes, preparing students for internships, and leading global citizenship at home internship.
For information, please contact:

Ms. Canice MOK

Teaching and Learning Innovation Centre

The New Frontiers Symposium: A Two-Day event on Arts, Culture, and Heritage

Event Details

Date : 27 – 28 Mar 2025 (Thu – Fri)

Time : 6:30pm – 8:00pm

Venue :

  • Learning Lab (RRS 321 & 322 Run Run Shaw Building, Main Campus, HKU) [organized by Teaching and Learning Innovation Centre on Thursday, 27 March 2025]
  • Lecture Hall, KB730, 7/F, Knowles Building, Main Campus [organized by Master of Science in Conservation Programme on Friday, 28 March 2025]

Abstract

Join us for a two-day symposium organised by HKU’s Master of Science in Conservation Programme and the Teaching and Learning Innovation Centre (TALIC). Learn more about the transformative power of cutting-edge technologies with world-renowned experts who are reshaping the landscapes of art, culture, and heritage. Mark your calendars and be part of the conversation that is shaping the future!

Date : 27 Mar 2025 (Thu)

Time : 6:30pm – 8:00pm (HKT)

Venue : Learning Lab (RRS 321 & 322 Run Run Shaw Building, Main Campus, HKU)

Speaker : Professor Hassan Ugail, Director of the Centre for Visual Computing and Intelligent Systems at the University of Bradford

Discussants :

  • Dr. Linda Shetabi, Lecture and Director of the MSc Conversation Programme Division of Landscape Architecture, the University of Hong Kong
  • Dr. Nikolas Ettel, Adjust Assistant Professor, Division of Landscape Architecture, the University of Hong Kong
Register

Abstract

In this talk, Professor Hassan Ugail, a leading computer scientist, will explore the transformative impact of Artificial Intelligence (AI) across diverse fields. While generative intelligence has revolutionized biometrics, face recognition, and art authentication, its influence extends far beyond—reshaping healthcare, security, and forensic science. Through groundbreaking projects such as AI-driven facial recognition models, organ quality assessment for transplantation, and the use of machine learning for art authentication for cultural heritage preservation, attendees will gain valuable insights into the technological advancements, ethical challenges, and future potential of AI in these fields. This session will feature real-world case studies and interactive discussions designed for a multidisciplinary audience, offering a deeper understanding of AI’s evolving role in society.

Date : 28 Mar 2025 (Fri)

Time : 6:30pm – 8:00pm (HKT)

Venue : Lecture Hall, KB730, 7/F, Knowles Building, Main Campus, HKU

Speaker : Professor Eugene Ch’ng, School of Cultural and Creativity Editor-in-chief Presence: Virtual and Augmented Reality, MIT Press

Discussants :

  • Dr. Linda Shetabi, Lecture and Director of the MSc Conversation Programme Division of Landscape Architecture, the University of Hong Kong
  • Dr. Nikolas Ettel, Adjust Assistant Professor, Division of Landscape Architecture, the University of Hong Kong

Abstract

The metaverse, powered by XR technologies, opens new avenues for research and communication that go beyond traditional physical and digital boundaries. By bridging the physical and virtual worlds, these technologies create opportunities to overcome the limitations of physical spaces. In the Information Age, they enable transformative ways of engaging with cultural and heritage information. Contemporary society’s constant exposure to diverse realities, particularly through social media, has shaped our perception and acceptance of visual content. The emergence of Generative AI further expands these possibilities, which is especially significant for cultural heritage sites and artifacts that are often unmodifiable or difficult to access. This talk explores these ideas through real-world projects, demonstrating how reality technologies are revolutionizing the study and communication of cultural heritage across millennia.

About the Speakers

Day 1
Professor Hassan Ugail, Director of the Centre for Visual Computing and Intelligent Systems at the University of Bradford, is a distinguished computer scientist specializing in visual computing and artificial intelligence (AI). He champions the application of AI to address real-world challenges in digital health, innovative engineering, and sustainable societies. His primary research focuses on human biometrics, particularly the development of advanced AI solutions for facial recognition and analysis. Notably, his work contributed to identifying the two Russian spies involved in the Salisbury Novichok poisoning case, a major international story in 2018. In 2023, Professor Ugail was a presenter at the 199th Royal Institution Christmas Lecture, where he showcased the role of AI in facial recognition. The Royal Institution Christmas Lecture, held in London, has a storied history dating back to 1825, with Michael Faraday—known as the father of electricity—delivering the inaugural lecture.
Day 2
Professor Eugene Ch’ng is a distinguished scholar in the interdisciplinary domain of digital culture and heritage, recognized as an expert in XR technologies, and currently serves as the Editor-in-Chief of PRESENCE: Virtual and Augmented Reality at MIT Press. Professor Ch’ng has led innovative centers, including the IBM Visual and Spatial Technology Centre and the Digital Humanities Hub at the University of Birmingham (2011-2013), and he was the founding director of the NVIDIA Joint-Lab on Mixed Reality at the University of Nottingham Ningbo China from 2016 to 2023. He has published over 140 articles, including influential volumes such as Visual Heritage in the Digital Age and Visual Heritage: Digital Approaches in Heritage Science, which have significantly advanced global discourse on scientific and digital methodologies in cultural heritage, attracting funding from the UK, Europe, and China. He is named among the top 2% most-cited scientists in the world by Stanford University.

About the Discussants

Day 1 & 2
Dr. Linda Shetabi is a Lecturer and the Director of the MSc Conservation Programme at the Division of Landscape Architecture at the University of Hong Kong. Dr. Shetabi’s research interests include the role of heritage conservation in achieving the UN 2030 Agenda on Sustainable Development and its contributions to the Sustainable Development Goals (SDGs). She is the co-author of the ICOMOS (International Council on Monuments and Sites) Heritage and the Sustainable Development Goals: Policy Guidance for Heritage and Development Actors. As a member of the ICOMOS SDG Working Group, her projects include the ICOMOS SDGWG Webinar Series on heritage and the sustainable development goals, collaboration with the NGO Major Group for the UN High-Level Political Forum, and the preparation of the ICOMOS Policy Guidance Manual.
Day 1 & 2
Dr. Nikolas Ettel is an intermedia researcher and Adjunct Assistant Professor in HKU’s Division of Landscape Architecture, where he coordinates the Faculty Interdisciplinary Courses and teaches the Common Core Course 24 Frames: Communicating Ideas through Film. He is the director of Infinite Frames: Students’ Short Film Festival, an annual event at Tai Kwun, to promote dialogue and collaboration among talented students and film scholars from around the world. His Hong Kong-based studio ZweixZwei Ltd. explores the creative use of emerging technologies to innovate visual storytelling by digitising cultural heritage. The work has been exhibited at PMQ, City Gallery, the Hong Kong Pavilion for the 2021 Venice Architecture Biennale, among other venues.
For information of Day 1, please contact:

Mr. William YIEU

Teaching and Learning Innovation Centre

For information of Day 2, please contact:

Dr. Nikolas ETTEL

Adjunct Assistant Professor, Dept. of Architecture

Teaching Development Grant (TDG) for Generative AI Innovation in Teaching & Learning – Introduction with a Walk-In Clinic

Event Details

Date : 21 Mar 2025 (Fri)

Time : 1:00pm – 2:30pm

Venue : Learning Lab (RRS321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Presenter : Prof. Lillian Luk, Assistant Professor, TALIC, HKU

Technology Consultant : Dr. Carson Hung, Lecturer / E-learning Technologist, TALIC, HKU

Register
Presentation File

Abstract

This workshop will begin with a 30-minute overview of the Teaching Development Grant (TDG) scheme, which supports projects designed to enhance teaching and learning through the development or use of generative artificial intelligence (GenAI) to drive transformation in curriculum, assessment/feedback, pedagogies, and student development. Participants will be introduced to the updated application form and invited to participate in a Q&A session. The following hour will operate in a walk-in clinic format, where colleagues who are working on their application can drop by for advice and feedback.

The TDG application deadline for the April 2025 round is Thursday, April 3, 2025. If you have questions about eligibility, expectations for successful proposals, etc. or if you’re seeking collaborators, this workshop is an ideal opportunity to clarify your ideas, refine your application, and connect with fellow educators passionate about advancing teaching and learning innovation.

For information, please contact:

Ms. Miffy LEUNG

Teaching and Learning Innovation Centre

Conducting Teaching Observations and Providing Constructive Feedback for Summative Peer Review of Teaching: A Workshop for Peer Reviewers

Event Details

PLEASE CHOOSE 1 SESSION:
DateTime
Session 19 January 2025 (Thursday)12:00pm - 1:30pm
Session 220 February 2025 (Thursday)12:00pm - 1:30pm
Session 36 March 2025 (Thursday)12:00pm - 1:30pm
Session 424 April 2025 (Thursday)12:00pm - 1:30pm
Session 515 May 2025 (Thursday)12:00pm - 1:30pm

Venue : Learning Lab (RRS 321, 3/F, Run Run Shaw Building, Main Campus, HKU)

Facilitators :

  • Dr. Jannie Roed, Director, TALIC
  • Prof. Lillian Luk, Assistant Professor, TALIC
Register

Abstract

This peer reviewer workshop is compulsory for all University of Hong Kong staff members who are in their faculty’s summative peer review panel and will act as peer reviewers. We have scheduled five sessions in Semester 2, academic year 2024-25. Please choose one session to attend, as the content will be the same for all sessions.

If you have attended the previous reviewer workshop with the same title, or have completed the online course “Introduction to Summative Peer Review of Teaching” available at HKU Online Learning until 31 December 2024, you do not need to attend any of these sessions.

This workshop will help participants understand the role of a summative peer reviewer and good practices in professional teaching observations in summative peer review. Participants will have the opportunity to gain hands-on experience in applying standards and qualities of good teaching. To make the most of the workshop, all participants are encouraged to obtain and bring along a copy of the Summative Peer Review of Teaching Form from their own faculty.

For information, please contact:

Ms. Canice MOK

Teaching and Learning Innovation Centre