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Hands-on Guide
A New Course on Ethical GenAI Use in Teaching
Brussels (BE), October 2026 - Walk into almost any university department today and you’ll likely find colleagues already using GenAI for all kinds of purposes – drafting lesson plans, generating content, supporting students, even assisting with assessment. GenAI tools are opening up possibilities that would have seemed far-fetched only a few years ago. At the same time, important questions arise about ethics, academic integrity, transparency, data protection, and what it means to be an educator in an AI-enabled classroom.
TaLAI project consortium of European partners – FAU Erlangen-Nürnberg (Germany), Fachhochschule Südwestfalen (Germany), Media & Learning Association, and the University of Amsterdam (The Netherlands) – set out to give educators a space to work through these questions, through reflection and real examples. The result is A Hands-on Guide to Ethical AI in Higher Education, an open online course built specifically for those working in higher education. Through practical activities, real-world examples and reflective dialogue, it invites participants to explore both what GenAI makes possible in university teaching, and where its limits lie.
- Guiding educators through the ADDIE Framework
- Analyse: understanding learners, contexts and policies
- Design: creating aligned learning experiences
- Develop: building learning materials responsibly
- Implement: using AI in teaching practice
- Evaluate: reflecting and improving
Building your own approach to GenAI use in teaching
As GenAI becomes increasingly embedded in higher education, the question is no longer whether educators will encounter AI in their teaching context, but how they will respond to it. While these technologies offer new possibilities for supporting learning, they also require careful consideration of different aspects such as academic integrity, transparency, assessment and professional responsibility.
A Hands-on Guide to Ethical AI in Higher Education does not offer simple answers to these complex questions. Instead, it provides a structured space for exploration, experimentation, and reflection. Through practical examples, critical discussion and opportunities for hands-on engagement, the course encourages educators to develop their own informed and context-sensitive approaches to GenAI use in teaching and learning.