Author(s)

Jianqiang Xu, Simin Zhou, Yuting Shi

Corresponding Author

Jianqiang Xu

Abstract

In the era of big data, various school data information systems can be utilized to deeply explore the relationship between students' learning behavior and learning effect, so as to dig deeper into educational problems. Based on the analysis of existing research problems in educational big data and learning warning, and combined with the technical framework of educational big data, this paper adopts attribute analysis, cluster analysis, text mining, classification prediction and other technologies to construct a logical model of learning warning system based on educational big data. The system is composed of five layers: data collection layer, data integration layer, data mining layer, learning analysis layer and application service layer. According to different functions, the system is divided into five modules: data collection module, data integration module, attribute selection module, analysis and evaluation module and warning output module. In addition, the article also designs the specific process of the learning warning system and a terminal-based warning effect display interface, and finally puts forward practical suggestions and reflections to provide more effective services for online education users and educational administrators.

Keywords

Big Data in Education, Online Education, Early-Warning for Learning, Early Warning Model, System Architecture