Research on student psychological crisis monitoring based on big data

Zi Wang; Dahuai Yu

doi:10.1117/12.2674610

23 May 2023 Research on student psychological crisis monitoring based on big data

Zi Wang, Dahuai Yu

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126041M (2023) https://doi.org/10.1117/12.2674610
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

The study investigated the mental health status, learning and living behaviors of college students, and found that there were significant differences in their mental health levels among college students with different learning and living behaviors. Taking sleep, late return, communication with classmates, study, absenteeism and sudden illness as information collection indicators, a psychological crisis monitoring and early warning system based on big data technology is established to conduct two-level monitoring and early warning, realize dynamic tracking management and accurate monitoring and early warning of college students' mental health status, and improve the level of mental health education in colleges and universities.

Citation Download Citation

Zi Wang and Dahuai Yu "Research on student psychological crisis monitoring based on big data", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126041M (23 May 2023); https://doi.org/10.1117/12.2674610

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