AI lunch talks
TLC-EB and TLC-FdR regularly organise lunchtime sessions on AI in education for EB lecturers. During these informal gatherings, you’ll explore current AI topics, ranging from assessment and learning to working with UvA AI Chat. Over a catered lunch, you can share experiences and get ideas you can apply directly in your own teaching.
The sessions offer space for practical examples, discussion and questions. They are also a great opportunity to catch up with colleagues and make new connections.
These sessions are a collaboration between the UvA TLCs at FdR and EB and the TLC GenAI Living Lab team, which is organising a series of sessions for lecturers on AI and education.
Up next
| Date | Time | Location | Description | Registration |
|---|---|---|---|---|
| 3rd of November 2026 | 12:00–13:00 | REC A3.01 | GenAI and Assessment: Understanding the Impact | Enroll here |
| 1st of December 2026 | 12:00–13:00 | T.B.A | Data & AI | Enroll here |
| 2nd of February 2027 | 12:00–13:00 | REC A3.01 | Agentic AI | Enroll here |
| 30th of March 2027 | 12:00–13:00 | T.B.A. | Context Engineering | Enroll here |
| 20th of April 2027 | 12:00–13:00 | T.B.A. | Visuals with AI | Enroll here |
| 8th of June 2027 | 12:00–13:00 | T.B.A. | Smarter or Dependent? Theory and Evidence on the Effects of GenAI Use on Learning and Cognition | Enroll here |
An overview of the sessions
GenAI and Assessment: Understanding the Impact
Date: 3rd of November 2026 12:00-13:00, REC A3.01
In this lunch talk, we will explore how Generative AI (GenAI) is reshaping assessment in higher education and what that means for your own courses. We will look at how GenAI affects unsupervised assessments such as take-home exams, essays and projects, and discuss what responsible and problematic use of GenAI looks like in your context. Along the way, you will be invited to reconsider what you most need and want students to demonstrate in their work.
Data & AI
Date: 1st of December 2026 12:00-13:00
In this lunch talk we’ll explore how data can be securely used in UvA AI Chat. We’ll have a look at uploading documents, using RAG vs Context window and explore ways to work with or on your data using AI. For more streamlined workflows, we can also look at using API access to incorporate AI features in existing or new programs.
Agentic AI
Date: 2nd of Februari 2027 12:00-13:00, REC A3.01
As one of the newest developments in the of AI sphere, the Agentic AI lunch session would shed light on what it actually entails. The scope of this lunch talk is still very much in development right now also dependent on the technical capabilities of the UvA AI Chat on the time this lunch talk would be given. This session is still heavily under construction as therefore hard to summarize but would be very interesting as it is one the most talked about AI topics of this moment.
Context Engineering
Date: 30th of March 2027 12:00-13:00
This lunch talk focuses on improving AI output by using context, multiple sources and different types of input in UvA AI Chat in a smart way. Participants learn how to combine and structure documents, text and other inputs to achieve better and more consistent results. They also work on workflows that go beyond a single prompt.
Visuals with AI
Date: 20th of April 2027 12:00-13:00
In this lunch talk, participants learn how to use UvA AI Chat to create and improve visual output. The focus is on combining different types of media, such as text and reference images, to generate figures and other visual elements, for example diagrams, flowcharts, and realistic images. Participants learn how to improve output iteratively and how to use reference material to arrive at more targeted, usable results. Attention is also paid to the limitations of using AI for visual work: when can AI quickly produce something useful, and when is it more efficient to continue working manually or use a different tool?
Smarter or Dependent? Theory and Evidence on the Effects of GenAI Use on Learning and Cognition
Date: 8th of June 2027 12:00-13:00
AI is changing how students learn — sometimes for the better, sometimes not. In this lunch talk, we will explore how genAI shapes learning processes and cognition more generally. We’ll look at relevant theories of cognition to frame the challenge of AI in education and we will discuss recent empirical research on using AI in higher education. This talk will help you see when AI supports learning, when it undermines it, and how we can steer students toward using AI in ways that actually build their skills.