Abstract
This study aims to explore new educational strategies suitable for the mental health education of college students. Big data and artificial intelligence (AI) are combined to evaluate the mental health education of college students in sports majors. First, the research status on the mental health education of college students is introduced. The internet of things (IoT) on mental health education, a structure based on big data and convolutional neural network (CNN), is constructed. Next, the survey design and questionnaire survey are carried out. Finally, the questionnaire data are analyzed and compared with the mental health status under traditional education. The results show that the CNN model has good accuracy and ability to distinguish symptoms, so it can be applied to the existing psychological work in colleges. In the symptom comparison survey, under the traditional education and big data network, the number of college students with mild mental health problems is found to be 158 (84.9%) and 170 (91.4%), respectively. It indicates that the number of college students with moderate mental health problems decreases significantly. In the comparative investigation of the severity of mental problems, the number of students with normal mental health, subhealth, and serious mental health problems under the background of traditional mental health education is 125 (67.2%), 56 (30.1%), and 5 (2.7%), respectively. The mental health status of college students under the influence of big data networks on mental health education is better than that of traditional mental health education. There are 140 students with normal mental health, a year-on-year increase of 16.7%. In the comparative survey of specific mental disorders, students with obsessive-compulsive symptoms under traditional mental health education account for 22.0% of the total sample, having the largest proportion. In the subhealth psychological group under the big data network on mental health education, the number of hostile students decreases by 7, which is the psychological factor with the most obvious improvement. Hence, the proposed path of mental health education is feasible.
Highlights
IntroductionThe living standards of the people have been improving day by day, the stimuli encountered in personal life are complex, and the life pressure is increasing
The results show that setting up compulsory courses in mental health education positively affects the mental health levels of college students
Based on the college students’ mental health development under new technology, a mental health education platform for college students in sports majors based on big data and artificial intelligence (AI) technology is constructed
Summary
The living standards of the people have been improving day by day, the stimuli encountered in personal life are complex, and the life pressure is increasing. The accumulation of pressure has an increasingly greater impact on personal mental health. College students are reserved talents for national development, and their mental health problems have gradually attracted people’s attention (Fang, 2021). There are many factors affecting the mental health of college students, including the learning environment, social environment, employment pressure, and so on (Tran et al, 2021). College students frequently drop out of school and commit suicide due to mental illness (Nottage et al, 2021). Given the current situation of ’the mental health of college students, colleges have adopted various forms of mental health education. The purpose of this study is to explore the mental health status of physical education students
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