The experimenting community meets Generativ Artifical Intelligence
DOI:
https://doi.org/10.7146/dut.v21i41.162826Abstract
The article examines the encounter between an experimental community and generative AI (GAI) in the online master’s program, Master of Arts (Education) in ICT-based Educational Design at Aarhus University. In a development project with the Center for Hybrid Intelligence (CHI), also at Aarhus University, we analyze teaching sequences, supporting workshops, students’ shorter text productions and small practice-based activities, as well as a pilot-implemented RAG chatbot setup provided by CHI. The analysis of student productions, observations, and short interviews shows that GAI creates the greatest value in open, iterative processes—especially when analogue materials are combined with multimodal tools to support the collaborative idea development and reflection. RAG is less suited to design processes that prioritize sketching and joint experimentation; operational stability and limited multimodality reinforce this misfit. The contribution is a practice-oriented framework for selective GAI use.
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