基于大数据的区域教育质量分析与改进研究

Research on the Analysis and Improvement of Regional Education Quality Based on Big Data

国家以招生考试制度改革为龙头的教育深化综合改革的核心方向是促进学生的全面发展与个性化成长,发现个性、培养个性,提高教育质量。教育大数据可以发现真正的学生个体特征,为学生提供个性化成长的支持,为破解规模化覆盖和个性化发展的难题提供了新的思路。北京师范大学未来教育高精尖创新中心研究了一套全面表征学习者特征的数据模型以及区域教育数据挖掘与分析模型,开发了一个促进学生个性发展的教育公共服务平台,形成了一套用大数据改进区域教育质量的解决方案,并在北京市的通州区成功开展了实践,取得了良好的效果。

In order to improve the quality of education, China is advocating the reform of entrance examination system, and the core orientation of the comprehensive reform of education is to promote the comprehensive development and individualized growth of students, to discover and cultivate individuality. The characteristics of individual student can be found through educational big data, which can provide supports for students＂ personalized development and provide a new way of thinking for solving the problem in the process of the development of personalized education. A data model which characterizes learners comprehensively and a model used for mining and analyzing regional education data have been developed by Beijing Advanced Innovation Center for Future Education. Moreover, a public educational service platform is established to support the development of students＂ personalities, and the big data-based solutions to improve the quality of regional education are formed too. Finally, in Tong Zhou district of Beijing, the practice in accordance with those reforms has been successfully carried out.