Analysis and Research on the Related Factors of Academic Problems of University Undergraduates from the Perspective of Big Data

Abstract

In order to solve the lag and passiveness of the traditional academic early warning system, through the collection of students’ academic big data, we analyze the related factors of students’ academic problems from the four dimensions of school, family, society and students themselves. We established a big data platform and designed a student learning support mechanism based on the big data platform, in order to achieve preventive management, follow-up education, and targeted support.