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 professor of Multimodal Learning Technologies at the German University of Digital Science. At the German UDS, he leads the research group "Augmented Feedback" and coordinates the master's in Advanced Digital Realities.  He is an associated researcher at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele Di Mitri received his PhD in Learning Analytics and Wearable Sensor Support from the Open University of the Netherlands. His current research focuses on developing AI-driven, multimodal learning technologies to enhance digital education. It aims to create innovative, responsible solutions that improve learning experiences through advanced feedback systems and ethical integration of technology. 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 CrossMMLA, a special interest group of the Society for Learning Analytics Research, and the chair of the special interest group on AI for Education of the European Association for Technology-Enhanced Learning.

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