"Data Portrait": The Accurate Characterization of College Students' Ideological Dynamic in the Big Data Age

Abstract

In the big data age, the accurate characterization of "data portraits" for college students' ideological and dynamic has rich connotation and significance. Behavior and ideology have a high degree of relevance, which is the logical premise to draw the "data portraits"; the ideology and behavior are linked through big data science; based on the research and the establishment of college students’ ideological dynamic "seven concept " characterizing standard, and the creation of students’ “six dimension†behavior on big data platform, this article constructs the hierarchical model of student data portrait to realize the purpose of "drawing a portrait" of students' ideological characteristics. It is a systematic project to accurately characterize the data portraits of college students' ideological trend. It needs the guarantee and specification of the education policy department, the support and guidance of the college management level, the change and adaptation of the ideological education team, the cooperation and interaction of the college students.