Event Details
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 |
[24 Sep 2026] Seminar 1: F5 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
[9 Oct 2026] Seminar 2
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(s): TBC
Abstract
[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
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.
[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 (Wed)
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
[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
Student Partner(s): TBC
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.
About the Speaker
[14 Dec 2026] Seminar 6
Date : 14 Dec 2026 (Mon)
Time : 1:00pm – 2:00pm
Online : Zoom
Speaker :
Prof. Lillian Luk, Assistant Professor, TALIC, HKU
Student Partner(s): TBC
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
Acknowledgement
Trio Partnership
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
Ms. Jessie ZHENG
Teaching and Learning Innovation Centre
- 3917 6134
- zhengjh@hku.hk