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教师数据驱动决策能力评价的国际研究述评:框架、工具与实施建议

An International Research Review of Teachers’ Data-driven Decision-making Ability Assessment: Constructs, Tools and Implementation Suggestions

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【作者】 杨淑婷; 魏非;

【Author】 YANG Shu-ting;WEI Fei;Department of Education Information Technology, East China Normal University;School of Open and Learning Education, East China Normal University;

【通讯作者】 魏非;

【机构】 华东师范大学教育信息技术学系; 华东师范大学开放教育学院;

【摘要】 教师数据驱动决策能力是实现教育数字化转型的重要支撑,但由于其具有情境性、实践性、多元性等特点,评价成为了教师专业发展实践面对的一大挑战。为借鉴国际上相关的成熟经验和优质成果,文章采用文献分析法,对国际上教师数据驱动决策能力的评价实践研究进行总结和梳理,提炼出三种评价框架设计思路和五种评价实施工具。之后,文章从评价框架、评价工具、评价实施方案、评价实施路径四个维度为开展教师数据驱动决策能力评价提出建议,以期为我国开展教师数据驱动决策能力的培养工作提供借鉴。

【Abstract】 Teachers’ data-driven decision-making ability is an important support for realizing the digital transformation of education. Since teachers’ data-driven decision-making ability is featured with situational, practical, and diverse performance, its assessment has become a major challenge for teachers’ professional development practice. In order to learn the relevant mature experience and high-quality achievements in the world, this paper used the literature analysis method to summarize and sort out the assessment practice research of teachers’ data-driven decision-making ability in the world, and further extracted three kinds of assessment framework design ideas and five kinds of assessment implementation tools. In addition, the suggestions for teachers’ data-driven decision-making ability assessment were proposed from four dimensions of assessment framework, assessment tool, assessment implementation plan, and assessment implementation path, expecting to provide a reference for developing the training work of teachers’ data-driven decision-making ability in China.

【基金】 2018年度国家社会科学基金重大项目“信息化促进新时代基础教育公平的研究”(项目编号:18ZDA335)的阶段性研究成果
  • 【文献出处】 现代教育技术 ,Modern Educational Technology , 编辑部邮箱 ,2022年08期
  • 【分类号】G434;G451
  • 【被引频次】1
  • 【下载频次】516
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