摘要
该文采用文献资料法和逻辑分析法,对2000年以来,基于数据、基于逻辑和基于知识的3类人工智能在体育教育中应用的国内外研究进行了梳理,结果表明:(1)大数据与移动通信结合促成了在线体育游戏教学,“5G+体育教育”将推动自适应体育学习发展;(2)模式识别与虚拟技术结合可创新教学互动及体验,促进绿色体育教学发展;(3)机器学习可识别体育活动类型,实现高效体育学习诊断;(4)“iSports”等智能决策支持系统可识别体育人才,提高个性化体育教学评估效果。从心理发展与教育视角,对人工智能与体育教育融合中需解决的关键问题进行了反思。
By methods of literature review and logical analysis,This paper reviewed the domestic and foreign research progress on the application of three kinds of artificial intelligence in physical education since 2000,which are based on data,logic and knowledge.The results show that:(1)Big data combing mobile technology contributes to a new form of learning in physical education,which is represented by sports games online."5G+Physical Education"will promote the development of adaptive physical learning and ubiquitous learning;(2)The combination of pattern recognition and virtual reality technology can innovate teaching interaction and experience;(3)Machine learning can identify the type of physical activity and realize learning diagnosis;(4)The intelligence decision support system such as"iSports"can be used for talent recognition in physical education.From the perspective of developmental and educational psychology,the key problems to be solved in the integration of artificial intelligence and physical education were reviewed.
作者
赖颖慧
蒋长好
LAI Yinghui;JIANG Changhao(School of Education Science,Hunan Institute of Science and Technology,Yueyang,Hunan Province,414006 China;Department of psychology and education,Capital University of Physical Education and Sports,Beijing,100191 China)
出处
《当代体育科技》
2021年第11期9-11,15,共4页
Contemporary Sports Technology
基金
国家自然科学基金面上项目《身心锻炼想象改善高龄老人执行功能的脑成像追踪》(项目编号:31771244)
国家自然科学青年基金《计算机化自适应测验中多维题目的在线维度识别》(项目编号:11701029)
北京市教委科研计划项目《亲子体育游戏对3~6岁幼儿社会理解能力的作用研究》(项目编号:S M201810029001)。
关键词
人工智能
体育教育
机器学习
大数据
Artificial intelligence
Physical education
Machine learning
Big data
