The Use of Artificial Intelligence in Physical Education and Movement Development in Children

Abstract

Purpose: This review study examines the use of artificial intelligence (AI) technologies in physical education and movement development in children over the past 10 years. Various AI applications, such as educational robots, virtual reality scenes, and personalized education programs, are discussed. Method: Scientific studies published between 2014 and 2024 were reviewed using academic databases such as Google Scholar, PubMed, IEEE Xplore, SpringerLink, Web of Science, and Scopus. Keywords such as "artificial intelligence," "physical education," "movement development," "children," "AI in education," "virtual simulation," and "personalized learning programs" were used. Data were classified based on criteria such as student performance, feedback mechanisms, and the improvement of educational processe. Results: Various AI applications, including educational robots, virtual reality scenes, and personalized education programs, are effective in increasing children's physical activities and supporting their movement development. AI technologies offer significant advantages in monitoring student performance and providing real-time feedback. Conclusion: AI technologies have been found to make significant contributions to physical education and movement development in children, with great potential in monitoring student performance, providing feedback, and improving educational processes. It is also important to provide necessary training for teachers to effectively use AI technologies. Future research should focus on the integration of technologies such as augmented reality, virtual reality, and the Internet of Things.

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