[关键词]
[摘要]
人工智能作为发展新质生产力的重要引擎,为我国体育教育测评工作提供了新的技术支撑。 研究运用文献资料法、逻辑分析法等,对人工智能赋能体育教育测评的内涵特征进行厘定,对应用场景 和风险隐忧进行梳理,并对此提出针对性的纾解方略。研究认为,人工智能赋能体育教育测评的内涵是 借助人工智能技术的驱动,来革新测评手段、丰富测评内容、改进测评方法、优化测评程序、精准测评反 馈,并表现出显著的功能特征和阶段特征。人工智能赋能体育教育测评的应用场景主要包括赋能体育 教学效果科学化评估、赋能课堂运动负荷常态化监测、赋能学生体育学习全面化测评、赋能体育教师能 力精准化评价和赋能体育考试测试便捷化施测。但仍存在隐私安全披露、技术支撑受限、革新力度不足、 资源分配不均和智能素养薄弱等风险隐忧。对此,从理念引领、标准规范、主体增值、伦理关照和实践保 障等方面提出人工智能赋能体育教育测评的纾解方略。
[Key word]
[Abstract]
Artificial intelligence, as an important engine for the development of new quality productivity, provides new technical support for physical education assessment in China. Using methods such as literature review and logical analysis, we define the connotation and characteristics of AI-empowered physical education assessment, sort out the application scenarios and risks and concerns, and propose targeted relief strategies. The study concludes that the connotation of AI-empowered physical education assessment is to innovate assessment methods, enrich assessment contents, improve assessment methods, optimize assessment procedures, and accurately assess feedback with the help of AI technology, and it also exhibits significant functional characteristics and stage characteristics. The application scenarios of AI-empowered physical education assessment mainly include scientific assessment of physical education teaching effect, normalised monitoring of classroom exercise load, comprehensive assessment of students’ physical education learning, precise evaluation of physical education teachers’ ability and convenient administration of physical education examination tests. However, there are still risks and concerns such as privacy and security disclosure, limited technical support, insufficient innovation, uneven distribution of resources and weak intelligent literacy. In this regard, we propose solutions for AI-empowered physical education assessment in terms of conceptual leadership, standardisation, value-adding, ethical care and practical protection.
[中图分类号]
TP18; G807
[基金项目]
上海市 2021年度“科技创新行动计划”社会发展科技攻 关项目(21010503700)