探究人工智能技术在运动训练领域的理论框架构建，包括数字化驱动、精准化指导、智能化反馈等关键环节，旨在为推动AI技术在运动训练领域的科学应用提供理论指导和实践参考。

This study employs a combination of literature analysis and case study methods to explore the theoretical framework and practical applications of artificial intelligence（AI）technology in the field of sports training. It proposes a theoretical framework of“digitization-driven， precision guidance， personalized training， and intelligent feedback，” and systematically reviews the practical applications of AI in areas such as athlete talent identification， skill assessment， sports performance monitoring， and training load regulation. Regarding technological pathways， the research emphasizes the construction of athlete digital profiles， the development of intelligent training systems， and the application of machine learning algorithms in movement optimization. The research findings can provide theoretical guidance and practical references for empowering sports training with AI，offering significant insights for promoting innovation in sports training models.

TP18;G808.1

国家社会科学基金项目（22BTY053）