About What We Do & Who We Are

MILKI-PSY aims to create AI-powered, data-rich, multimodal, immersive learning environments for independent learning of psychomotor skills. In doing so, a cross-domain approach is emerging that enables multimodal recording of expert activities and using these recordings as blueprints for learners. With the help of AI-supported analyses, learning progress is to be supported through automated error detection and generated, individual feedback. This creates holistic, innovative learning environments for learning psychomotor skills, in which personalised, AI-supported learning support enables individual learning processes based on complex data analyses.

The COVID-19 pandemic has shown that many teaching/learning activities can be carried out without physical presence. This is hardly true for psychomotor skills: their development, as they are necessary in many disciplines (e.g. medicine, engineering, chemistry, artistic activities, sports) requires hands-on practice, direct feedback and reflection. In order to achieve the desired learning successes, personnel supervision and material input are therefore indispensable. Both increase costs and limit the scaling possibilities of the study programmes concerned: experts are rare and expensive, and the use of materials causes further costs.