Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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Research on Mental Health Investigation and Early Warning of College Students Based on Smart Campus

Authors
Ruipeng Guo1, Bowen Cui2, *, Yutong Du2
1Xi’an University of Technology, Student Affairs Department, Xi’an, China
2Xi’an University of Technology, School of Economics and Management, Xi’an, China
*Corresponding author. Email: 1091074672@qq.com
Corresponding Author
Bowen Cui
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_13How to use a DOI?
Keywords
Smart Campus; College students; Mental Health Investigation; Psychological crisis warning
Abstract

Contemporary university students have a strong sense of individuality, and their psychological problems are hidden and complex, so traditional psychological surveys can no longer meet existing needs. How to use the new generation of information technology to solve this problem and establish a “24/7, one-stop” early warning mechanism has become a hot and difficult research issue. Therefore, a survey was carried out on the psychological status of 26,547 students at a university in the western region of China using an electronic questionnaire through a smart campus platform built by the university, and the students’ mental health problems were classified into four levels. The statistical data collected by the electronic questionnaire was analysed through big data technology and 1,080 students with mental health problems at all levels were unearthed, accounting for 4.07% of the total number of students surveyed. There were 3 students with Level 1 psychological problems (0.28%), 53 students with Level 2 psychological problems (4.91%), 225 students with Level 3 psychological problems (20.83%) and 799 students with Level 4 psychological problems (73.98%). Based on the results of the survey and analysis, a psychological crisis early warning mechanism based on the smart campus platform is proposed, and a psychological crisis detection and early warning system based on big data technology is constructed.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_13How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ruipeng Guo
AU  - Bowen Cui
AU  - Yutong Du
PY  - 2023
DA  - 2023/10/27
TI  - Research on Mental Health Investigation and Early Warning of College Students Based on Smart Campus
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 104
EP  - 116
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_13
DO  - 10.2991/978-94-6463-276-7_13
ID  - Guo2023
ER  -