GenAI in the classroom

This workshop is designed for university teachers and course coordinators who want to move beyond ad‑hoc AI tool use and instead design learning activities where GenAI genuinely supports student learning.

No. The workshop is suitable for both beginners and more experienced users. We will focus on didactic principles and evidence‑based design, not on mastering a specific tool.

The emphasis is on didactics and learning design: using GenAI as a coach rather than a calculator, keeping humans in the loop, and designing tasks that foster active and meaningful engagement with the learning process. Ethical and practical issues (e.g. over‑reliance, fairness, privacy) are addressed in service of good pedagogy.

You are encouraged (but not required) to bring one of your own courses or class tasks. The learning goals include identifying and selecting a specific intended learning outcome in your own course where AI could add value, and designing an AI‑supported classroom task around it.

Yes. The principles we use are discipline‑agnostic. Examples may come from various fields, but you will be invited to translate them to your own subject area and level.

Not in depth. This workshop focuses on designing classroom tasks that use GenAI to support learning, not on summative assessment design. There are two separate workshops dedicated to understanding the impact of AI on assessment and to designing AI‑robust assessments. Some of the principles we discuss can be applied to formative assessment, but the primary aim here is to help you design in‑class learning activities where AI functions as a coach, keeps humans in the loop, and strengthens students’ engagement with the learning process.