Using Big Data to Enhance the Targeted Research of College Students' Ideological Education

Abstract

With the development of big data (BD) technology, the wide application of BD has opened up new perspectives and approaches for ideological education research. Carrying out ideological education for college student (CS)s with the help of BD technology is conducive to the implementation of the party's educational policy, the implementation of the fundamental task of cultivating people with morality, and the training of qualified builders and reliable successors of socialism with Chinese characteristics, who are both red and professional, have both ability and political integrity, and comprehensive development people. The purpose of this article is to analyze the role of BD in the process of targeted ideological education for CSs from the perspective of BD, and use this as an opportunity to identify the current problems encountered in the process of using BD to carry out targeted ideological and political education (IAPE). Promote the pertinence of CSs' IAPE. The methods used in this article include literature research method, induction method and case analysis method, using the four major business system data of CSs during the school period and applying BD technology to study the pertinence of contemporary CSs' ideological education. The study found that the use of BD methods can make up for the shortcomings of traditional research, and many practical conclusions have been obtained. For example, the comprehensive student data obtained by the application of BD technology shows that the overall scores of students’ thoughts tend to be stable between two higher scores. The numbers are 46% and 38%, indicating that most students perform well in school and the overall evaluation is good. The scores of students who have committed violations of discipline and penalties are relatively low, but only account for 6%, which is relatively low.