生成式人工智能（GAI）为高校体育教师教研范式转型提供了强大助力，是推动我国体育教育 现代化的关键力量。运用文献资料、逻辑推理等研究方法，对 GAI驱动高校体育教师教研范式转型的作 用机制与赋能限度展开研究。研究发现，人机协同视域下 GAI驱动高校体育教师教研范式转型的作用 机制，主要表现为多元功能、智能决策、协同进化等智能技术特征与教师自主教研空间、个体教研能力以 及个性教研规划的协同作用。在转型进程中，需注意“赋能”侵蚀育体铸魂主权、“智能”产生技术依赖、 “释能”削弱伦理责任等应用边界与潜在风险。基于此，提出对应的实践路径：回归育人本质，确保价值 引领与数字赋能的协同并进；重构互动模式，促使智能启发与教研思想的互塑共生；促进终身学习，实现 人工智能与专业成长的深度融合；关注个体差异，塑造专业自主与开放多元的教研生态。

Generative Artificial Intelligence（GAI）provides a powerful boost to the transformation of teaching and researchparadigms for university physical education teachers，serving as a key driving force for the modernization of physical educationin China. This study employs research methods such as literature review and logical reasoning to explore the mechanismsand empowerment limits of GAI in driving the transformation of teaching and research paradigms for university physicaleducation teachers. The study found that the mechanism through which GAI drives the transformation of teaching and researchparadigms for university physical education teachers in a human-machine collaboration framework primarily manifests as thesynergistic interaction between intelligent technological features such as multi-functional capabilities，intelligent decisionmaking，and collaborative evolution，and teachers’ autonomous teaching and research spaces，individual teaching and researchcapabilities， and personalized teaching and research planning. During the transformation process，attention should be paidto the application boundaries and potential risks， such as the erosion of the sovereignty of physical education and characterbuilding by“empowerment”， the development of technological dependence due to“intelligence，” and the weakening ofethical responsibility due to“release of potential.” Based on this， the following practical pathways are proposed： returningto the essence of education to ensure the synergistic advancement of value-driven leadership and digital empowerment；reconfiguring interactive models to facilitate the mutual shaping and symbiosis of intelligent inspiration and research ideas；promoting lifelong learning to achieve the deep integration of artificial intelligence and professional growth； and addressingindividual differences to cultivate a professional research ecosystem characterized by autonomy and openness.

G807.4； G434

中国学生体育联合会2025 年度重大课题（L202501001）。