Empowering College Physical Education through Generative Artificial Intelligence: Opportunities, Challenges, and Practice Pathways
Kata Kunci:
ChatGPT, college physical education, DeepSeek, Generative Artificial Intelligence, smart physical education, Technology Acceptance ModelAbstrak
The rapid advancement of generative artificial intelligence (GenAI), including tools such as ChatGPT and DeepSeek, has introduced significant transformations across educational domains, including higher education physical education (PE). However, the adoption of GenAI in college PE remains associated with several critical challenges, including limited technological understanding among educators, insufficient AI literacy, concerns regarding the reliability of AI-generated information, data privacy issues, and ethical risks such as excessive dependence on automated systems that may diminish educators’ pedagogical roles. This study aims to explore the transformative impact of GenAI on college PE, identify key application scenarios, examine its potential benefits and implementation challenges, and propose strategic directions for integrating AI-driven approaches into PE learning environments. This study employed a literature review and case analysis approach, incorporating a PRISMA-informed screening process to systematically identify and analyze relevant studies. A total of 72 documents were reviewed to investigate the current applications, opportunities, and challenges associated with GenAI implementation in higher education physical education. The findings reveal five major application scenarios: lesson planning and instructional design, learning resource development, personalized learning support, classroom assessment, and training guidance. The integration of GenAI enhances teaching effectiveness, improves instructional efficiency, facilitates individualized learning experiences, and supports a collaborative “teacher + AI” educational model. This study recommends the development of pedagogically grounded human–AI collaboration frameworks, comprehensive AI literacy training programs for PE educators, robust data governance mechanisms, and the establishment of intelligent PE platforms. Future research should focus on longitudinal investigations, the development of PE-specific large language models (LLMs), and the integration of GenAI with wearable technologies to enable data-driven, adaptive, and personalized physical education practices
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