Laurentiu-Marian Neagu, Eric Rigaud, Vincent Guarnieri, Vladimir Ghita, Sébastien Travadel, Mihai Dascalu, Razvan Rughinis
pp. 178 – 198, download
(https://doi.org/10.55612/s-5002-067-008)
Abstract
An Intelligent Tutoring System (ITS) is a computer-based system that produces personalized tutoring through individualized, pedagogically sound, and easy-to-access educational material. Research groups explored various methods and assumptions for building efficient tutors in the cognitive field, with notable results in disciplines like physics, mathematics, and informatics. In contrast, the psychomotor domain is only lately exhibiting an intensive digitalization process. Selfit v2 is a recently-developed ITS that aims to engage people in sports and improve the general health of the mass population. In this study, we assess Selfit v2‘s utility and effectiveness in an experiment with forty-two users having low and medium training experience. The experiment used two adaptive strategies for tutoring – narrow and broad exploration spaces. Selfit v2 evaluation showed promising results and highlighted the usefulness of ITS in the psychomotor field. The current work can be considered the foundation of a new crossroad between AI in education and psychomotor training, opening new research directions aiming to improve the population’s general health through automated systems.
Keywords: Intelligent Tutoring System, Psychomotor Development, Personalization, Selfit v2, Usability Testing
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