Can Generative AI be a driver of curiosity, engagement, and active participation in your teaching? This workshop is for university teachers who want to explore how Generative AI can be used to spark students’ engagement and meaningfully support their learning.
This workshop offers a structured and practice-oriented introduction to the pedagogical use of Generative AI in university teaching.
With a focus on actual learning design, the workshop explores how tools such as large language models can support students’ learning in academic processes. Participants are invited to bring their own courses, assignments, and teaching formats into play, so that discussions and examples are directly relevant to their own context.
On one hand, we examine how Generative AI can be integrated into impactful learning activities, and on the other hand, we address how the same activities might be designed to heighten students’ AI literacy and support their understanding of how large language models work, their limitations and biases, and the implications for academic integrity, disciplinary standards, and future professional practice.
After the workshop, the participants will be better able to:
The workshop alternates between short, research-informed presentations, demonstration of teaching examples, and guided design exercises where participants rework or develop activities for their own courses. Along the way, we make explicit the pedagogical considerations involved in using Generative AI: alignment with learning outcomes and assessment, transparency in expectations to students, and strategies to handle challenges such as over-reliance on AI, and uneven student access or skills.
By the end of the workshop, participants will have developed one or more draft activities that they can further refine and test in their own teaching, as well as a stronger conceptual framework for evaluating when, how, and why Generative AI adds value to students’ learning.
