Frontiers in Educational Psychology, 2021, 2(1); doi: 10.38007/JEP.2021.020101.
Huan Wu and Chan Luo
Nanchang Institute of Science and Technology, Nanchang 330108, China
At present, the mental health problems of ethnic minority college students have been widely concerned by colleges and universities. Although there are many studies, the corresponding solutions and resources are relatively scarce, and the social attention is not high. In order to better analyze and solve the related problems of the network mental health of ethnic minority college students, this paper constructs the network mental health analysis and guidance system of ethnic minority college students on the basis of big data, and selects 955 ethnic minority college students in our province as the experimental objects, including 543 boys, 412 girls, 310 urban students and 645 Township students. In this study, we used questionnaire and symptom Checklist-90 (SCL-90) to investigate 955 minority college students in Minzu University. 928 valid questionnaires were collected, and the effective recovery rate was 97.1%. After the questionnaire survey, the data were collected and input and processed by spss20.0 statistical software, and the SCL-90 scores were scored according to five levels. The results showed that the positive detection rate of SCL-90 was as high as 25.9%, while the detection rate of College Students' psychological problems was 3.79%-26.14%. Therefore, the survey results show that the positive detection rate of the sample has been close to the maximum value of this range, indicating that the network mental health status of minority college students is not ideal. It can be seen that the research and design of the network mental health analysis and guidance system for minority college students based on big data is of great value.
Big Data Era, Minority College Students, Mental Health Analysis and Guidance System, SCL-90 Self-assessment Form
Huan Wu, Chan Luo. Network Mental Health Analysis and Guidance System for Minority College Students Based on Big Data. Frontiers in Educational Psychology (2021), Vol. 2, Issue 1: 1-8. https://doi.org/10.38007/JEP.2021.020101.
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