Masterclass "AI in Teaching: Tools, Strategies and Reflection"

Masterclass " AI in Teaching: Tools, Strategies and Reflection"

AI tools are already in our classrooms — often before we have decided what we want them to do there. This Masterclass gives teaching staff a working command of generative AI in higher education, built around three questions: which tools, which strategies, and what do we conclude?

Participants first build a functional mental model of how large language models actually behave, then examine where that behavior helps or harms specific teaching tasks — preparation, in-class work, assessment and administration. Live demonstrations show what the technology does and does not do, and where its failure modes appear. The session closes with some legal and institutional framing (EU AI Act, data protection) and a structured reflection in which each participant defines one concrete change to their own teaching.

By the end of the session, participants will be able to:

- describe how generative AI systems produce output, and use that understanding to predict where they fail;

- identify and name recurring failure modes in AI-supported teaching work;

- match AI tools to specific teaching tasks using a four-level framework, from single prompts to structured workflows;

- locate their own practice within the UNESCO AI Competency Framework for Teachers (2024);

- formulate one specific, implementable commitment for their own teaching.

The session is open to teaching staff across all disciplines and requires no prior technical knowledge. All materials are released as Open Educational Resources under CC BY 4.0.

Speaker: Dr. Hannes Tegelbeckers