Core Viewpoint - The integration of artificial intelligence (AI) in education, particularly in sports teaching at higher education institutions, is transforming traditional teaching methods into data-driven, personalized approaches, aligning with national policies promoting AI in education [1][2]. Group 1: Policy and Strategic Direction - The Chinese government has introduced significant policies such as the "Education Informatization 2.0 Action Plan" and "China Education Modernization 2035," emphasizing the deep integration of AI in education [1]. - The shift from "Internet + Education" to "AI + Education" is seen as a crucial opportunity for the digital transformation of sports education [1]. Group 2: Teaching Personnel Development - Enhancing the digital literacy of teaching staff is essential, with universities encouraged to include AI training in faculty development programs [2]. - Collaboration with experts in sports science and AI is recommended to improve teachers' understanding of relevant technologies [2]. Group 3: Student Engagement and Skills Development - Universities should offer courses like "Introduction to Intelligent Sports" and "Sports Data Analysis Management" to improve students' ability to interpret data and manage their training [2]. - Initiatives such as "Smart Sports Clubs" can foster teamwork and digital thinking among students [2]. Group 4: Content Innovation and Delivery - Establishing a unified digital resource library for sports education is vital, integrating various teaching materials and continuously updating them through AI analysis [3]. - Collaboration with sports research institutions and technology companies is encouraged to produce high-quality, innovative teaching content [3]. Group 5: Teaching Methodology Transformation - A closed-loop teaching process driven by AI, involving data collection, analysis, feedback, and adjustments, is proposed to enhance teaching effectiveness [4]. - The integration of traditional teaching methods with advanced technologies is essential for a balanced educational approach [4]. Group 6: Infrastructure and Support Systems - Development of smart sports laboratories and training bases, supported by local governments and industry partnerships, is necessary for sustainable digital education ecosystems [4]. - Establishing strict data management protocols is crucial to ensure the ethical use of educational data [4].