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    教育数字化转型的数据赋能基础与实践

    Data Empowerment Foundation and Practice for Digital Transformation of Education

    [浏览次数:37132]

【作      者】:

陈思睿, 余胜泉


【关 键 词 】:

数字化转型; 教育信息生态; 数据赋能; 教育治理; 教育服务


【栏      目】:

教育数字化


【中文摘要】:

教育数字化转型是教育发展和变革的必然趋势,而利用数据赋能教育质量提升是当下数字化转型的重点与难点。研究首先从信息生态和数据流转的视角,分析现有数据难以有效赋能教育实践的问题成因,并据此提出数据赋能教育高质量发展的基础原理——以促进教育治理中人的业务协作与效率提升为原则,建立数据高效流转的服务体系。其次,以公共教育服务平台“智慧学伴”的架构设计与应用形态为例,阐释如何构建面向多角色业务协同的数据服务,探索有效利用数据赋能区域教育质量提升的实践路径。研究提出,通过教育数据的中台化、分析模型的可解释化和应用服务的定制化,能够有效促进基于数据流转的教育业务协同,实现教育治理的全要素生产效率提升。


【英文摘要】:

Digital transformation of education is an inevitable trend of education development and reform, and using data to empower the education quality improvement is the focus and challenge of current digital transformation. Firstly, from the perspective of information ecology and data flow, this paper analyzes the reasons why it is difficult for existing data to effectively empower the educational practice. Then, this paper proposes a basic principle of data-empowered high-quality development in education —to establish a service system for efficient data flow based on the principle of promoting human business collaboration and efficiency in education governance. Secondly, taking the architecture design and application form of the public education service platform "Smart Learning Partner" as an example, this paper explains how to establish data services for multi-role business collaboration, and explores the practical path of effectively utilizing data to empower the improvement of regional education quality. The study suggests that through the centralization of education data, the interpretability of analytical models and the customization of application services, it is possible to effectively promote education business collaboration based on data flow, and to realize the improvement of all-factor productivity in educational governance.

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