A Mental Health Education Strategy Based on Online Videos

Abstract

To protect the mental health of college students, this paper proposes two methods based on online videos, namely, the accurate mental health education (AMHE) method and the personalized mental health education (PMHE) method. The AMHE analyzes the sequence and frequency of the access to category pages in the search for online videos, determines the categories of the videos watched by college students, and extracts the keywords from students' reviews on online videos. The PMHE examines the mental health problems of college students through data mining and big data analysis: the improved association rules algorithm is used to mine the access logs of online videos, the frequently accessed knowledge points are identified to determine the students' interests, and the relationship between knowledge points and interests is ascertained. The two methods were combined into a mental health education strategy, capable of adjusting the teaching contents flexibly and providing students with personalized services. This research sheds new light on the design of mental health education courses and the improvement of students' mental health.