数据驱动在教育决策中的实践  

Data-driven Practice in Educational Decision-making

作　　者：庞飞[1] 胡金柱 李世聪 PANG Fei;HU Jinzhu;LI Shicong

机构地区：[1]中国石油大学(北京),北京102200

出　　处：《科教文汇》2024年第20期12-15,共4页Journal of Science and Education

基　　金：2021年度中国石油大学(北京)研究生质量工程项目“数据驱动视角下研究生教育信息化研究与实践”。

摘　　要：该文旨在研究学校数据驱动教育决策的工作思路,并以中国石油大学(北京)的数据工作实践为案例进行详细论述。该文从学校的数据治理现状、学校数据驱动教育决策工作思路和学校驱动教育决策的实践领域三个方面展开论述。首先,介绍了学校数据中心建设现状,强调了学校在数据集成、交换与治理方面的工作战略。其次,总结了学校从顶层设计、技术支持到专业助力的数据驱动工作思路。最后,列举了学校在贫困生认定、教育资源配置优化、学生行为预警和教学模式革新等方面的数据驱动决策实践。研究为学校数据驱动教育决策提供了具有参考价值的案例分析和工作思路。This paper aims to explore the working approach of data-driven educational decision-making in schools,using the case of China University of Petroleum(Beijing)as an example,and provides a detailed discussion from three aspects:the current status of data governance in schools,the approach to data-driven educational decision-making,and the practical areas of data-driven educational practices in schools.Firstly,the paper introduces the current status of the school’s data center construction,emphasizing the strategic work of data integration,exchange,and governance.Secondly,it outlines the school’s approach to data-driven work,covering toplevel design,technological support,and professional assistance.Finally,it presents examples of data-driven decision-making practices in the school,including identifying students from underprivileged backgrounds,allocating educational resources,student behavior early warning,and reforming teaching models.This research provides a valuable case analysis and working approach for data-driven educational decision-making in schools.

关 键 词：数据驱动 教育决策 资源配置 学生管理 

分 类 号：G647[文化科学—高等教育学]