高校体育教育领域中的人工智能:理论逻辑、现实困囿与优化路径
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南京工程学院体育部,江苏 南京, 211167

作者简介:

姚琛,硕士,副教授,研究方向为体育教育训练学、体育人文社会学。E-mail:30505271@qq.com

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中图分类号:

G807.4

基金项目:

2023年江苏高校哲学社会科学研究一般项目“新时代背景下高校体育教师师德师风建设策略研究”(2023SJYB0444)


Artificial Intelligence in the Realm of Physical Education within Higher Education:Theoretical Logic, Practical Challenges, and Optimization Paths
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Department of Physical Education, Nanjing Institute of Technology, Nanjing 211167 , China

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    摘要:

    随着《高等学校人工智能创新行动计划》的颁布和GhatGPT(Chat Generative Pre-trained Transformer)、虚拟现实(Virtual Reality,VR)、深度求索(DeepSeek)等人工智能技术在体育领域的广泛应用,人工智能助推高等学校体育教育改革与创新成为必然趋势。依托人工智能助力数智化转型,实现传统知识传递转向培养学生核心素养的变革,推动高校体育教育多元化模式的构建。本文阐述了人工智能助推高校体育教育发展的机理、困囿与路径,认为人工智能有助于推动高校体育教育主体的高认知、高效率、高协同,但同时也面临技术普及难、数智素养低、数据安全弱和人文关怀少四重困囿。人工智能助推高校体育教育的优化路径包括整合优化智能教学资源、建设智能校园体育赛事、提升教师数智化素养、建立数据安全保护机制。

    Abstract:

    With the promulgation of the “Action Plan for Innovation in Artificial Intelligence in Higher Education” and the extensive implementation of artificial intelligence technologies such as ChatGPT (Chat Generative Pre-trained Transformer), VR (Virtual Reality), and DeepSeek in the realm of sports, it has become an inevitable trend for artificial intelligence to spearhead reform and innovation in physical education within higher institutions. Leveraging artificial intelligence to facilitate digital transformation can revolutionize traditional methods of knowledge transmission towards the cultivation of students core competencies, thereby promoting the development of diversified models in college physical education. This study employs a range of methodologies including comprehensive literature review and logical analysis, to elucidate the intricate mechanisms, challenges, and pathways through which artificial intelligence facilitates the advancement of physical education in higher education. The research asserts that artificial intelligence plays a significant role in enhancing cognitive capabilities, operational efficiency, and collaborative synergy among stakeholders involved in college physical education. Nevertheless, this transformative process encounters four substantial obstacles: the complexities surrounding technology dissemination, inadequate levels of digital literacy, frail data security protocols, and a notable deficiency in humanistic considerations. The proposed optimization pathways encompass the integration and enhancement of intelligent teaching resources, the establishment of smart campus sports events, the improvement of teachers digital literacy skills, and the development of robust data protection mechanisms.

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姚琛,陈红星.高校体育教育领域中的人工智能:理论逻辑、现实困囿与优化路径[J].南京工程学院学报(社会科学版),2025,25(1):16-22.

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  • 收稿日期:2025-02-08
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  • 在线发布日期: 2025-05-09
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