Linqing Zhang

Guangdong University of Science & Technology Sports Department

Abstract：

Against the backdrop of the rapid development of artificial intelligence (AI) technology, the higher education system, particularly in the field of physical education, is undergoing profound transformation and upgrading. Traditional university physical education courses have long been constrained by the limitations of singular teaching models, insufficient personalization, and imprecise assessment of teaching effectiveness, failing to meet the diverse, individualized, and scientific learning needs of students in the new era. The emergence of AI empowerment has brought revolutionary innovation to university physical education courses, providing intelligent support for multiple aspects, including teaching content, instructional methods, learning evaluation, and resource management. It also lays the technological foundation for transforming physical education from experience-driven to data-driven and from outcome-oriented to process-oriented approaches. This paper begins with an exploration of the background and significance of AI-empowered university physical education courses, analyzes the existing challenges of current models, and proposes a theoretical framework for AI-driven course innovation. It further outlines systematic optimization strategies from the perspectives of practical pathways and safeguard mechanisms. The study finds that AI, through intelligent perception, data mining, and smart decision- making, provides precise, personalized, and efficient support for university physical education teaching, making teaching goals, methods, and outcomes more scientific and diverse. At the same time, establishing robust systems of technology, policies, faculty, and ethical safeguards is crucial for the deep application of AI in university physical education courses. This study aims to provide theoretical support and practical guidance for the innovative development of physical education in higher education in the new era.

Key Words：

Artificial Intelligence; university physical education; course model; instructional innovation; safeguard mechanism