Digital Spotlight Event - The Impact of AI on education at 糖心TV - 20th January 2025
Monday 20 January 2025, In person.
Location: Radcliffe Conference Centre, University of 糖心TV.
The event will start from 9.15 approx and likely finish by 1.30
About the event:
The Digital Spotlight is pleased to invite you to our upcoming workshop entitled 'The Impact of AI on education at 糖心TV: Where are we and where should we be going?'. We have an exciting programme of discussions planned, and lunch and refreshments will be provided.
The theme of the event is The usage of LLMs and generative AI in education across the university, especially in the assessment process.
Although many departments have been discussing the impact of genAI for their own department, there has been less discussion across the departments and a lack of any unified framework to guide departments. There is also a need for a clear strategy/vision at the University level on how to utilise genAI, at both end-user and more technical levels.
We are particularly keen to explore opportunities for interdisciplinary approaches to research in this area.
If you would like to attend, please complete the short registration form below. Details of speakers and an agenda will be circulated closer to the time.
Please get in touch should you have any queries. We look forward to seeing you there!
| Event Programme |
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| Session 1 (9:30 - 11:05) |
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| 9:15 - 9:30 |
Introduction |
Long Tran-Thanh |
Presentation |
| Professor Long Tran-Thanh (Director of Research in Computer Science and Digital Spotlight Chair) will introduce the Spotlight and outline the plan for this event and anticipated outcomes. |
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| 9:30 - 10:45 |
Department Presentations |
Department Representatives |
Presentations |
| Representatives from each academic department will provide a brief (~3 minute) introduction to usage of - and any issues with - AI in their departments, based on examples of specific use cases. We will also hear any suggestions for potential collaboration opportunities and ideas for future interdisciplinary research on these topics. |
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| 10:45 - 11:05 |
Research-led talk |
Heidi Ashton (CCMPS) & Long Tran-Thanh (DCS) |
Presentation |
| Presentation on current research in this area. Followed by Q & A. |
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| 11:05 - 11:30 |
Refreshments in the lounge |
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| Session 2 (11:30 - 13:00) |
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| 11:30 - 12:15 |
Group discussions |
Groups of ~10 delegates |
Discussions |
| Themes for discussion are subject to change depending on confirmed interests and expertise of our delegates, but could include: 路How can we detect and mitigate bias, and where have we noticed bias when using AI? For example gender-bias in NotebookLM podcasts, and problems with diversity in ChatGPT and Gemini-produced images 路What are the benefits and/or risks when using AI in low-stakes assessments, especially for formative and summative feedback provision? 路How can we train students to use AI appropriately (and how could we use AI to do so)? 路How could genAI tools be used in the preparation of course materials whilst avoiding misinformation? 路How can AI be used to support students with disabilities 鈥� e.g., cantext-to-speech software or real-time transcriptionincrease accessibility? 路Should we develop University-specific AI tools? What are the advantages and disadvantages? 路How to use (Gen)AI in group work in seminars and to foster creative interactions (e.g., instant prototyping). Can it support role-play? What guidelines should we give students to ensure productive and ethical use of AI in group work? 路Where might there be opportunities for future collaboration and interdisciplinary research to further explore these themes? |
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| 12:15 - 12:45 |
Group presentations |
Speakers from each group |
Presentations |
| Speakers from each group will share summaries of their group鈥檚 discussion of the above themes, followed by any questions. |
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| 12:45 - 13:00 |
Closing Remarks |
Long Tran-Thanh |
Summary |
| Lunch in restaurant (13:00 - 13:45) |
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