Artificial Intelligence in Physical and Health Education Applications in Sports and Exercise Physiology

Abstract

The Technological revolution has significantly impacted human life, breaking boundaries and bridging gaps. Physical education has been an integral part of the educational system, used for evaluating students and assessing performance in various levels. Artificial intelligence (AI) has been considered an aid to remediate old learning patterns, but its gains in physical education in the niche of sports and exercise physiology have not been fully tapped due to poor integration. This study explores the use of virtual reality technology, big data analysis, injury prevention systems, and intelligent recognition technology in solving problems presented by traditional teaching methods. AI is a field of computer science and engineering that focuses on creating machines that can perform tasks that require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. It has evolved over time, with its history dating back to Aristotle and Alan Mathison Turing. In the field of Physical and Health Education, AI is being used to meet lifelong learning needs and professional needs at various levels. Artificial Intelligence (AI) has evolved through three stages: Symbol, Data, and Third Generation. The development of AI has been influenced by three schools: Symbolicism, Connectionism, and Actionism. AI is now being applied in various fields, including industry, finance, medicine, education, and agriculture. Currently, AI is integral to human life, with applications in face brushes, payment, driverless cars, and voice assistants. It has a strong foundation in education and health professionals, who are one of the largest occupational groups in the world.