With the rapid development of science and technology, artificial intelligence (AI) has gradually penetrated into every field of education, and physical education curriculum is no exception. In physical education courses, AI technology is mainly reflected in the following aspects: Personalized training plan: AI By analyzing students’ physique, sports performance and training history, AI makes a personalized training plan for each student to ensure the scientific and effective training. Movement data analysis: Using sensors and smart devices to collect exercise data, AI can analyze students’ technical movements, exercise intensity and fatigue degree in real time, so as to provide accurate teaching feedback for coaches. Virtual coach: AI virtual coach provides instant guidance through video analysis and voice interaction to help students correct their movements and improve their skills. Intelligent sports equipment: smart sports shoes, wearable devices, etc., through integrating sensors and AI algorithms, to provide students with real-time sports performance data and suggestions. After class, the action recognition method is used to evaluate students’ physical education teaching actions, form quantitative data for scoring, explore a new path of artificial intelligence and sports integration development technology, and establish a complete grassroots school material selection model to cultivate people's sports habits from the grassroots level and promote the development of the sports industry to a higher field.

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The Integration Path and Impact of Artificial Intelligence and Physical Education Curriculum Development Technology

  • Peng Ren

摘要

With the rapid development of science and technology, artificial intelligence (AI) has gradually penetrated into every field of education, and physical education curriculum is no exception. In physical education courses, AI technology is mainly reflected in the following aspects: Personalized training plan: AI By analyzing students’ physique, sports performance and training history, AI makes a personalized training plan for each student to ensure the scientific and effective training. Movement data analysis: Using sensors and smart devices to collect exercise data, AI can analyze students’ technical movements, exercise intensity and fatigue degree in real time, so as to provide accurate teaching feedback for coaches. Virtual coach: AI virtual coach provides instant guidance through video analysis and voice interaction to help students correct their movements and improve their skills. Intelligent sports equipment: smart sports shoes, wearable devices, etc., through integrating sensors and AI algorithms, to provide students with real-time sports performance data and suggestions. After class, the action recognition method is used to evaluate students’ physical education teaching actions, form quantitative data for scoring, explore a new path of artificial intelligence and sports integration development technology, and establish a complete grassroots school material selection model to cultivate people's sports habits from the grassroots level and promote the development of the sports industry to a higher field.