Application of Digital Data Analysis Technology in Education

Evgeniya Kovalev
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Abstract

The main directions of digitalization of the education system are considered, the infrastructural and technological aspect of new strategic directions of development is analyzed. The author analyzed information systems and services in education, taking into account the possibility of using technologies for analytical data processing. The problem of using data analytics tools in education at present is the lack of uniform formats and tools for integrating information systems. Data in education accumulates in various solutions that do not share the results of the educational process. Based on this, it is impossible to build a clear system of end-to-end interaction between systems on common platforms. The author aims to solve this problem by modeling an integrated solution for data analysis at all levels of education. The article proposes technical and organizational solutions for the creation of integrated analytics services that allow accumulating and transmitting data on educational results during the transition of a student between learning levels. The analysis tools are based on the use of big data technologies.
数字数据分析技术在教育中的应用
论述了教育系统数字化的主要方向,分析了基础设施和技术方面新的战略发展方向。作者分析了教育中的信息系统和服务,并考虑到使用分析数据处理技术的可能性。目前在教育中使用数据分析工具的问题是缺乏统一的格式和工具来整合信息系统。教育数据积累在各种解决方案中,而这些解决方案并不共享教育过程的结果。基于此,不可能在公共平台上建立一个清晰的系统之间的端到端交互。为了解决这一问题,笔者建立了一个针对各级教育数据分析的综合解决方案。本文提出了用于创建集成分析服务的技术和组织解决方案,这些服务允许在学生在不同学习水平之间转换期间积累和传输有关教育结果的数据。分析工具基于大数据技术的使用。
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