The course will be structured around three themes:

What is learning?

Here we ask the question: What is learning in higher education and in the age of AI? -facing and accessible AI systems are here to stay, and it is reshaping the higher education landscape. Framed within a social constructivist and learning-centred approach to learning and teaching, we consider what the facilitation of learning entails. We also consider how students' relationship to transformative knowledge can be negotiated in light of their increasingly complex relationship to machines.

Reimagining learning in the age of AI

Given the rapid developments in AI, its increased accessibility and inclusion in our lives, we can assume that higher education students are using (generative) AI technologies and that banning and/or proctoring the use thereof is not fruitful. The logical follow-up question is: Shouldn't we then rather reimagine learning in the age of AI as a collaborative effort between teachers, students and machines and foster academic integrity by modelling the responsible and ethical use of AI tools? In this session, course participants will critically reflect on the possible impact AI systems have on the higher education sector in their context specifically, and on designing learning in different disciplines and fields of study. The values needed to navigate learning in this changing landscape will also be discussed.

Redesigning learning for the age of AI

In the final session, we explore the question: How can learning be redesigned in and for the age of AI? Through the application of suggested principles and experiments with AI tools, course participants are encouraged to start engaging with AI in their learning and teaching practices. Through this process, participants are also equipped with transferrable knowledge and skills to guide higher education students to the responsible use of AI systems in their own learning.