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大数据赋能基础教育学业质量评价的机理、困境与破解路径

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大数据重塑了教育评价生态,推动了基础教育学业质量评价的转型与变革.大数据通过革新评价理念、优化评价方式、扩展评价内容、改进评价结果,全面赋能基础教育学业质量评价.然而,囿于大数据的"双刃剑"属性,基础教育学业质量评价面临着数据滥用、教师数据素养缺失、学生主体性消解等现实困境.为破解困境,大数据赋能基础教育学业质量评价应从加强顶层设计、提升教师数据素养、厘清数据技术价值观念等方面着力,推动基础教育高质量发展.
The Mechanism,Dilemma and Solution of Academic Quality Evaluation of Basic Education Empowered by Big Data
Big data has reshaped the ecology of educational evaluation and promoted the transfor-mation and reform of the evaluation of academic quality in basic education.Big data comprehensive-ly empowers the evaluation of the academic quality of basic education by innovating the evaluation concept,optimizing the evaluation method,expanding the evaluation content and improving the evaluation results.However,due to the"double-edged sword"attribute of big data,the evaluation of the academic quality of basic education is faced with realistic difficulties such as data abuse,the lack of teachers'data literacy,and the resolution of students'subjectivity.In order to overcome this di-lemma,the evaluation of academic quality of basic education empowered by big data should focus on strengthening top-level design,cultivating teachers'data literacy,clarifying the values of data tech-nology and so on,so as to promote the high-quality development of basic education.

basic educationevaluation of academic qualitybig dataeducational evaluationhigh-quality development of education

周海银、韩璐

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山东师范大学,山东 济南 250014

基础教育 学业质量评价 大数据 教育评价 教育高质量发展

山东省社会科学规划教育学一般项目

22CJYJ38

2024

现代教育管理
辽宁教育研究院

现代教育管理

CHSSCD北大核心
影响因子:1.219
ISSN:1674-5485
年,卷(期):2024.(4)
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