Advances in the related fields of wearable sensors, augmented reality, artificial intelligence, and machine learning make it possible to connect these technologies into integrated learning solutions. The intersection of these fields of emerging technologies is an area of a lot of opportunities for innovative learning systems, but likewise a field of fuzzy expectations. With the third edition of this workshop, we want to contribute to the systematic organisation of the field and to the advancement of solutions, building upon the previous two editions, namely MILeS21 and MILeS22.

The MILeS 2023 workshop is organised in the context of the German BMBF-funded research project MILKI-PSY, which aims to develop AI-supported, data-intensive, multimodal, immersive learning environments for the independent learning of psychomotor skills. This leads to 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-based analysis, learning progress is to be supported by automated error detection and automatically generated, individual feedback. This creates holistic, innovative environments for cultivating psychomotor skills, in which personalised AI support enables individual learning processes based on complex data analysis.

With the interdisciplinary workshop, we aim to bring together experts and practitioners from technology-enhanced learning and educational application of technologies to collect ideas, requirements, best practices, and example cases in the intersection of Artificial Intelligence, Multimodal Systems, Immersive Systems and their application into actual education.