摘要
智能技术赋能教师教学评价已经成为新时代教育评价深化改革的重要议题。本研究通过梳理教师教学评价范式的四个历史演变阶段,依据为何评(Why)、评什么(What)、怎么评(How)、评何用(Use)评价活动的四要素,构建了一个集“目标—内容—技术—结果”四位一体的多元、循环、综合的WWHU理论框架。该框架呈现出评价理念从奖罚诊断走向促进发展、评价内容从宏观教学质量走向微观教学数据链、评价技术从人工手动方式走向机器智能方式、评价结果从结果评价走向“四个评价”的发展趋势。未来,要推动智能技术赋能教师教学评价的实践落地,需要从“理念引领、数据融合、平台搭建、机制保障”等四条路径持续着力,以期为数智时代教师教学评价改革提供理论借鉴与实践引导。
That intelligent technology empowers teachers'teaching evaluation has become an important topic of educational evaluation reform in the new era.This study constructs a“goal-content-technology-results”theoretical framework based on the four elements of evaluation activities:Why,What,How and Use,by sorting out the four stages of historical evolution of teachers'teaching evaluation paradigms.It has constructed a multi-dimensional,cyclic and comprehensive WWHU theoretical framework that integrates“goal-content-technology-results”.The framework has shown the developmental trend of the evaluation concept from reward and punishment diagnosis to promotion and development,the evaluation content from macro teaching quality to micro teaching data chain,the evaluation technology from manual to machine intelligence,and the evaluation result from result evaluation to“four evaluations”.In the future,in order to promote the practice of teachers'teaching evaluation empowered by intelligent technology,it is necessary to continue to focus on the four paths of“conceptual leadership,data integration,platform construction,and mechanism guarantee”,with a view to providing theoretical reference and practical guidance for the reform of teachers'teaching evaluation in the era of digital intelligence.
作者
季益龙
逯行
张家华
周跃良
Ji Yilong;Lu Hang;Zhang Jiahua;Zhou Yueliang(Zhejiang Normal University;Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province)
出处
《当代教育科学》
北大核心
2024年第2期71-80,共10页
Contemporary Education Sciences
基金
2024年度浙江省哲学社会科学规划重点课题“基于多源异构数据的中小学教师数字素养智能评价研究”(项目编号:24NDQN23Z)
2023年浙江省教育规划课题“基于多模态数据融合的师范生教学能力智能评价研究”(项目编号:2023SCG363)的研究成果之一。
关键词
智能技术
教师教育
教学评价
数字化转型
intelligent technology
teacher education
teaching evaluation
digital transformation
