Publication: Embedding Digital Technologies (AI and ICT) into Physical Education: A Systematic Review of Innovations, Pedagogical Impact, and Challenges
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Applied Sciences - MDPI
Abstract
This systematic review investigates the integration of artificial intelligence (AI) and information and communication technologies (ICT) in physical education across all educational
levels. Physical education is uniquely centered on motor skill development, physical activity engagement, and health promotion—outcomes that require tailored technological
approaches. Through the analysis of recent empirical studies, the main areas where digital
technologies contribute to pedagogical innovation are highlighted—such as personalized
learning, real-time feedback, student motivation, and educational inclusion. The findings
show that AI-assisted tools facilitate differentiated instruction and self-regulated learning
by adapting to students’ individual performance levels. Technologies such as wearables
and augmented reality (AR)/virtual reality (VR) systems increase engagement and support
the participation of students with special educational needs. Furthermore, AI contributes to
more efficient and objective assessment of motor performance, coordination, and movement
quality. However, significant structural and ethical challenges persist, such as unequal
access to digital infrastructure, lack of teacher training, and concerns related to personal
data protection. Teachers’ perceptions reflect both openness to the educational potential of
AI and caution regarding its practical implementation. The review concludes that AI and
ICT can substantially transform physical education, provided that coherent policies, clear
ethical frameworks, and investments in teachers’ professional development are in place.
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Citation
Tohănean, D. I., Vulpe, A. M., Mijaica, R., & Alexe, D. I. (2025). Embedding Digital Technologies (AI and ICT) into Physical Education: A Systematic Review of Innovations, Pedagogical Impact, and Challenges. Applied Sciences, 15(17), 9826. https://doi.org/10.3390/app15179826
