The application of artificial intelligence in sports evaluation
Sijie Lou  Qiang Mei

College of Sports and Health Sciences Zhejiang Normal University, Jinhua China Jinhua Zhejiang，321000；

Abstract:With the rapid development of artificial intelligence (AI) technologies, the application of machine learning in physical education has become increasingly widespread, providing new solutions for assessment and teaching in traditional sports classrooms. This paper reviews the current status, key methodologies, and future trends of AI applications in sports evaluation. Research indicates that intelligent assessment systems based on technologies such as Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Few-Shot Learning can efficiently analyze students' athletic performance, significantly enhancing the accuracy of motion recognition and skill assessment. For example, studies show that the ANN model achieves an accuracy rate of 99.6% in football teaching evaluations, while CNN combined with Few-Shot Learning reduces the average error rate in detecting incorrect movements to 0.034%. Furthermore, the integration of technologies such as motion-sensing games and Virtual Reality (VR) has further enriched the interactivity and engagement of sports education, especially in younger age groups and small-class teaching settings. However, current research faces challenges such as the complexity of data labeling and insufficient model generalization. In the future, the deep integration of AI with sports education will require further optimization of algorithmic design and exploration of multimodal technologies to promote the development of intelligent and personalized sports teaching.
keyword ：Artificial intelligence； physical education；machine learning

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