生成式人工智能赋能学校体育教学的价值、风险与对策  

The Value,Risks,and Implementation Strategies of Generative Artificial Intelligence in Empowering School Physical Education Pedagogy

作　　者：张强 孟祥阳 Zhang Qiang;Meng Xiangyang(Graduate School of Shandong Sport University,Jinan 25000,China)

机构地区：[1]山东体育学院研究生教育学院,山东济南250000 [2]天津体育学院,天津300211

出　　处：《体育科技文献通报》2025年第3期268-272,共5页Bulletin of Sport Science & Technology

基　　金：我国基层自治性体育组织治理研究(项目编号:2023-B-03);全国性单项体育协会治理创新研究(项目编号:23TYB072)。

摘　　要：信息化时代背景下,生成式人工智能的快速发展为学校体育教学带来了新的机遇和挑战。研究认为:生成式人工智能在学校体育教学中的应用具有多维价值,是推动体育教学过程高效化的新动力、实现体育教学资源公平化的新途径、促进体育教学内容多样化的新介质。与此同时,也面临着消弭体育教学主体自主思想、异化体育教学师生交互关系、淡化体育教学中的实践过程、带来体育教学数据安全风险等问题。基于此,提出以下实现策略:优化人机融合,提高技术使用素养;重构师生关系,加强师生情感联结;坚持体育教学具身认知的学科特色;正视技术问题,规避数据安全风险等实现策略。The rapid advancement of generative artificial intelligence(GenAI)in the information age presents transformative opportunities and complex challenges for school physical education(PE)pedagogy.This study identifies GenAI's multidimensional value as a catalyst for operational efficiency,equitable resource distribution,and content diversification.However,critical risks emerge:generative tools risk eroding pedagogical autonomy through over-reliance on algorithmic solutions,distorting teacher-student dynamics via synthetic avatar interactions,marginalizing embodied learning through virtualized practice environments,and exposing sensitive biometric data to cybersecurity threats.To navigate this dual reality,the study proposes a balanced implementation framework:enhancing human-AI synergy through hybrid“co-teaching”models;restructuring pedagogical relationships that augment human mentorship;preserving embodied cognition paradigms;and mitigating cybersecurity risks.

关 键 词：学校体育教学 生成式人工智能 价值 风险 对策 

分 类 号：G807.0[文化科学—体育训练]