CategoriesJournal article

New pub: Through the Telescope: A Systematic Review of Intelligent Tutoring Systems

The systematic literature review led by Gianluca Romano has been published in the International Journal of Artificial Intelligence in Education by Springer Nature

"Through the Telescope: A Systematic Review of Intelligent Tutoring Systems and Their Applications in Psychomotor Skill Learning"

This review fits in with our broader effort as a group on how AI can be supportive for psychomotor skills, i.e. those skills which require mind-body coordination, and that have a high degree of physicality.

The article systematically reviews "Intelligent Tutoring Systems (ITS)" and finds that current ITS primarily support fine, simple, and technical skills, such as those in medical and sports training.

We highlight gaps in addressing complex, gross, and open skills. For the future of the field, we call for ITS to incorporate broader physical skill dimensions, personalised feedback, and training theories to achieve more effective, holistic skill development. In the future, we expect ITS to move beyond repetition and expert comparison toward adaptive, theory-driven learning support.

Check it here Open Access 🔓

Romano, G., Schneider, J., Di Mitri, D. et al. Through the Telescope: A Systematic Review of Intelligent Tutoring Systems and Their Applications in Psychomotor Skill Learning. Int J Artif Intell Educ (2025). https://link.springer.com/article/10.1007/s40593-025-00526-1

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

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