AI Teaching

In the master’s course “Constructive Cognitive Science”, I designed and led the tutorial. It combined theory, implementation and reflection and concluded with a competency-based portfolio exam.

For hands-on practice, I built a learning environment for multimodal AI agents. Students implemented perception, representation and inference modules in dynamic, reproducible scenarios.

In the bachelor’s course “Human Aware AI” with around 60 participants, I led half of the tutorials. The focus was on learning in AI and humans, agent architectures, cooperation and collaboration.

I extended my simulation environment so students could first simulate agents and then test them on TurtleBot robots. Structured debates about the future of AI were converted into practice-oriented exercises.

Technologies: Python, Cognitive Modelling, ACT-R, Human-Aware AI