Practice and Exploration of Teaching Mental Health Education for College Students Based on Data Mining Algorithm

Abstract

Based on the data mining algorithm, this paper combines the background of the requirements for cultivating talents in the new era, the psychological characteristics, and learning features of contemporary college students and the realistic needs of the reform of the teaching of mental health education courses in colleges and universities. By analysing the characteristics, psychology, and causes of crime of contemporary university students, the study will explore the regular experience of guiding and preventing university students from committing crimes at the level of mental health education in universities, which will not only help to reduce the crime rate of university students but also extend to the prevention of crimes of other people in society through the work of mental health education in general, so as to reduce the crime rate in society and create a harmonious society. In this paper,the decision tree C4.5 algorithm and the association rule apriori algorithm are used to analyze the mental health data of college students, which can improve the teaching quality of college mental health education courses and enhance the psychological quality of college students. It is of great significance to improve the teaching quality of mental health education courses in colleges and universities and to enhance and improve the psychological quality and health literacy of college students.