Development of psychomotor skills (e.g. in medicine, sports) requires practical exercise, direct feedback and reflection. In order to achieve the desired learning success, individual support is essential.
The BMBF project MILKI-PSY aims to create AI-supported, data-intensive, multimodal, immersive learning environments for the independent training of psychomotor skills. This creates a cross-domain approach that makes it possible to record the activities of experts in a multimodal manner and to use these recordings as blueprints for learners. With the help of AI-supported analyzes, the learning progress is to be supported by automated error detection and generated, individual feedback.
This creates a holistic, innovative learning environment for learning psychomotor skills, in which individual learning processes are personalized based on complex data analyzes and supported by AI.
Technische Hochschule Köln Deutsches Forschungszentrum für Künstliche Intelligenz Rheinisch-Westfälisch Technische Hochschule Leibniz Institut für Bildungsforschung und Bildungsinformation Deutsche Sporthochschule Köln