Research on the Application of Data Mining Technology in College Students’ Mental Health Education in the Network Age

Abstract

As the marcher of life in the times, the network has penetrated into all fields of life and played an immeasurable role. As a specific contemporary group, college students have a weak sense of self-protection and are very vulnerable to adverse factors. Some colleges and universities are trying to explore various psychological intervention modes in order to conduct psychological counselling and prediction more objectively. Network mental education means that, on the premise of using social networks, educators use psychological science methods to exert a positive impact on all aspects of students' mental health education, so as to promote the development of contemporary mental health of college students under social networks and cultivate the correct mentality of using social networks. It is combined with the established college students' rational correlation analysis system. Based on the collected data and basic information of college students' rational evaluation, the improved mining algorithm is used, and some rules and characteristics of college students' psychological related factors are analyzed from the results, which provides a new idea for college students' rational health education. Aiming at realizing the embedded data mining technology in the psychological management system, this paper expounds in detail the design and implementation of the data mining technology module suitable for the psychological management system and discusses the factors affecting students' mental health.