AI赋能下高校体育教学与科研互促的生态重构-《体育科学研究》

文章信息/Info

Title:: The Ecological Restructuring of the Relationship Between Physical Education Teaching and Research in Universities,Facilitated by Artificial Intelligence (AI)

Author(s):: YU Jie; （College of Physical Education,Jimei University,Xiamen,361021,China）

Keywords:: intelligent sports; AI empowerment; physical education in universities; mutual promotion of scientific research; ecological reconstruction

摘要:: 立足智能体育发展视域，探讨人工智能（AI）技术驱动高校体育教学与科研互促的生态重构机制。针对传统体育教学与科研生态中存在的“教学—科研”二元割裂、数据孤岛效应显著等现实问题，构建“教学—科研—技术”三位一体的生态理论框架。基于生态学理论，将生态体系划分为主体层、资源层、技术层与环境层，系统阐释AI赋能下“数据驱动—双向反馈—协同共生”的生态重构逻辑，揭示AI技术如何弥合传统生态断裂，实现教学数据与科研资源的高效整合及智能辅助。研究表明，AI技术通过重构生态链条，能够有效促进高校体育教学与科研的深度互促，推动形成跨区域、跨院校的体育教育生态联盟。在此基础上，进一步剖析AI赋能引发的生态结构变革，包括主体层角色转型、资源层动态循环与环境层政策协同。针对实践困境，从分层推进策略、政策保障机制、能力建设路径与技术产品研发四个维度提出优化对策。

Abstract:: This study examines the ecological reconstruction of AI technology in university sports education and research through the lens of intelligent sports.By analyzing fragmentation in traditional sports ecosystems，such as disconnection between teaching practices and research innovation,and pronounced data silo effects，the research proposes a tripartite “teaching-research-technology” ecological framework.Grounded in ecological theory,this framework categorizes four layers:subject,resource,technology,and environment,while elucidating AI-driven ecological restructuring through data-driven approaches,bidirectional feedback,and symbiotic collaboration.Through current analysis,the study demonstrates how AI bridges traditional ecosystem gaps,enabling effective integration and intelligent support of teaching data and research resources.The study concludes that AI technology achieves deep mutual reinforcement between sports education and research through ecological chain restructuring,while facilitating cross-regional and inter-institutional ecological alliances.It explores structural transformations in AI-enabled sports educationresearch synergy,including role transitions in the subject layer,dynamic resource circulation,and policy coordination in the environment layer.Practical challenges are addressed through optimization strategies including tiered implementation,policy safeguards,and capacity building.