![[Translate to English:] Illustration](/fileadmin/_processed_/5/b/csm_AdobeStock_249961822_6582494925.jpeg "[Translate to English:] MILKI Illustration")
This may change with current technological developments promising new opportunities to convey motor knowledge via distance learning. For example, immersive learning and practice rooms in mixed, augmented, and virtual reality settings or the latest sensor systems that can track and record movements at a highly detailed level already exist. Big Data and learning analytics now analyze and evaluate large volumes of data. Machine learning and generative AI models interpret this data, draw conclusions, and generate individual feedback. Each of these technologies has been treated separately – until now.
The aim of the MILKI-PSY (Multimodal Immersive Learning with Artificial Intelligence for Psychomotor Skills) research project is to integrate these technologies to create an independent, immersive learning environment for psychomotor skills using AI supported, data intensive, multimodal methods. This comprehensive approach will enable multimodal recordings of the activities of experts and the use of these recordings as blueprints for learners. On the basis of complex data analyses, AI-based analytics facilitate learning progress through automated error detection and personalized feedback.
MILKI-PSY is one of twelve new projects funded by German government research grants dedicated to innovation through artificial intelligence and big data in the field of "Digital Higher Education."