Project

MILKI-PSY

Multimodal immersive learning with artificial intelligence for psychomotor skills

Multimodal immersive learning with artificial intelligence for psychomotor skills

  • Duration:

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.

Partners

Technische Hochschule Köln Deutsches Forschungszentrum für Künstliche Intelligenz Rheinisch-Westfälisch Technische Hochschule Leibniz Institut für Bildungsforschung und Bildungsinformation Deutsche Sporthochschule Köln

Sponsors

BMBF - Federal Ministry of Education and Research

16DHB4014

BMBF - Federal Ministry of Education and Research

Share project:

Publications about the project

Nghia Duong-Trung; Hitesh Kotte; Milos Kravcik

In: European Conference on Technology Enhanced Learning. European Conference on Technology Enhanced Learning (EC-TEL-2023), 18th European Conference on Technology Enhanced Learning (ECTEL), September 4-8, Aveiro, Portugal, ISBN 978-3-031-42682-7_65, Springer, 9/2023.

To the publication

Olga Viberg; Ioana Jivet; Pedro J. Muñoz-Merino; Maria Perifanou; Tina Papathoma (Hrsg.)

European Conference on Technology Enhanced Learning (EC-TEL-2023), September 4-8, Aveiro, Portugal, Springer, 9/2023.

To the publication

Marco Temperini; Vittorio Scarano; Ivana Marenzi; Milos Kravcik; Elvira Popescu; Rosa Lanzilotti; Rosella Gennari; Fernando De La Prieta; Tania Di Mascio; Pierpaolo Vittorini (Hrsg.)

International Conference on Methodologies and Intelligent Systems (MIS4TEL-2022), July 13-15, L'Aquila, Italy, Vol. Lecture Notes in Networks and Systems, No. 580, ISBN 978-3-031-20616-0, Springer, Cham, 11/2022.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz