Opportunities,Challenges and Strategies for the Scientific Development of Sports Training in the Context of Artificial Intelligence
In an era of highly advanced science and technology,the scientific revolution in sports training is crucial for continuous improvement in training practices.This study employs literature research method and logical analysis to analyze the opportunities,challenges,and strategies of integrating artificial intelligence(AI)technology into the scientific process of sports training,aiming to provide insights for the reform and development of sports training in China.The study suggests that AI brings opportunities for the scientific development of sports training:scientific equipment enables the visualization of training data,allowing real-time monitoring of the training process;the continuous enrichment of communication channels diversifies training methods;realistic simulation of training scenarios brings practice closer to real matches;and real-time feedback on training status makes the training more targeted.However,challenges exist in the practical application,including insufficient information literacy of relevant personnel,high costs of technical equipment,and the risk of athletes'privacy information leakage.As such,strategies for the scientific development of sports training in the context of AI in China are proposed:continuously improving the professional quality of practitioners and systematically establishing an information-based training mechanism;further enhancing the level of AI and overcoming application barriers;establishing a legally regulated AI application system to protect users'privacy and security.