Artificial Intelligence (AI) is becoming pervasively rooted in both our private and professional lives. Learning to inhabit this progress functionally means seizing opportunities to support and enhance human capabilities, rather than using AI merely as a substitute. In this scenario, it is essential for physical education (PE) teachers to plan lessons that are as personalized as possible, tailored to students' skills and their zone of proximal development. Using AI to analyse students' personal data and current competencies can assist PE teachers in designing inclusive and adaptive lesson plans. However, to maximize results and achieve high-quality educational programs, it is necessary to query AI effectively by providing a comprehensive data package. What specific data is required? By comparing a generic approach with one based on real student data, this study aims to demonstrate that AI can become a valuable tool for designing inclusive and personalized PE plans.

(2026). Empowering Physical Education Teachers: AI-Driven Personalized Learning in Schools . Retrieved from https://hdl.handle.net/10446/336865

Empowering Physical Education Teachers: AI-Driven Personalized Learning in Schools

Sangalli, Silvia;Cudicio, Alessandro;Smorgoni, Giacomo;Lovecchio, Nicola;Borgogni, Antonio
2026-01-01

Abstract

Artificial Intelligence (AI) is becoming pervasively rooted in both our private and professional lives. Learning to inhabit this progress functionally means seizing opportunities to support and enhance human capabilities, rather than using AI merely as a substitute. In this scenario, it is essential for physical education (PE) teachers to plan lessons that are as personalized as possible, tailored to students' skills and their zone of proximal development. Using AI to analyse students' personal data and current competencies can assist PE teachers in designing inclusive and adaptive lesson plans. However, to maximize results and achieve high-quality educational programs, it is necessary to query AI effectively by providing a comprehensive data package. What specific data is required? By comparing a generic approach with one based on real student data, this study aims to demonstrate that AI can become a valuable tool for designing inclusive and personalized PE plans.
2026
Sangalli, Silvia; Cudicio, Alessandro; Smorgoni, Giacomo; Lovecchio, Nicola; Borgogni, Antonio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/336865
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