COMMUNICATION

Application of “One-Click Early Warning” Psychological Crisis Intervention System in Colleges

  • ZHANG Wenjing ,
  • LIANG Jingwen ,
  • DONG Xuanzhe ,
  • WANG Ruilei ,
  • DU Yong ,
  • WANG Lipeng
Expand
  • 1Center for Mental Health Education, Northwest University, Xi’an 710127, China;
    2Public Administration School, Northwest University, Xi’an 710127, China;
    3School of Information Science and Technology, Northwest University, Xi’an 710127, China;
    4Student Affairs Department, Northwest University, Xi’an 710127, China

Online published: 2025-09-03

Abstract

In recent years, psychological crises have occurred frequently in universities. The psychological crises among college students have characteristics such as diversity, concealment, and complexity, which pose greater challenges to psychological work in universities. To enhance the response rate and intervention capacity of schools to psychological crises, this study proposes a “one-click early warning” psychological crisis intervention system. The data sources include the psychological center, departmental counselors, students, teachers, school hospital, security department, logistics department, and other business units. It collects specific information about students from multiple dimensions such as daily study and life, interpersonal communication, and behavioral habits. Based on the system theory in the extended crisis theory and the stacking integrated learning framework, 300 students’ information was collected as a training set to build a psychological crisis early warning model. Subsequently, data from another 100 students were used as a test set to evaluate the predictive performance of the model. The results show that the model has good discrimination ability and can effectively warn students in crisis, bringing convenience to university psychological crisis work. It is expected that through the application of this program, the demand for mental health services of the student group in colleges and universities can be met, and substantive contributions can be made to building a harmonious society .

Cite this article

ZHANG Wenjing , LIANG Jingwen , DONG Xuanzhe , WANG Ruilei , DU Yong , WANG Lipeng . Application of “One-Click Early Warning” Psychological Crisis Intervention System in Colleges[J]. Psychological Communications, 2025 , 8(2) : 182 -190 . DOI: 10.12100/j.issn.2096-5494.225025

References

[1] 陈文. (2024-02-02). 完善高校心理危机协同处置机制. 联合日报, p3.
[2] 段静. (2017). 浅谈高校大学生心理档案建立. 未来与发展, 41(1), 100-103.
[3] 樊富珉. (2003). “非典”危机反应与危机心理干预. 清华大学学报(哲学社会科学版), (4), 32-37.
[4] 刘哲, 张雪娟, 王兴伟, 何强, 程淑华. (2023). 大学生心理危机预警与干预机制研究. 当代教研论丛, 9(12), 44-48.
[5] 刘莉. (2024). 基于医校合作的大学生心理危机预警机制构建. 东华理工大学学报(社会科学版), 43(5), 478-483.
[6] 罗常伟, 王双双, 尹峻松, 朱思宇, 林波, 曹江. (2023). 集成学习研究现状及展望. 指挥与控制学报, 9(1), 1-8.
[7] 孙婷, 李欠文, 齐红煜, 张青. (2024). 高职大学生心理危机预警和干预机制研究. 大学, (13), 193-196.
[8] 王计生, 徐多勇, 唐莉, 熊梅, 江永燕. (2024). 基于大数据的高校学生心理危机智能预警模型构建. 成都医学院学报, 19(1), 111-115.
[9] 谢青. (2023). 突发公共事件下大学生心理危机干预的常态化机制研究. 中国多媒体与网络教学学报, (10), 159-163.
[10] 周易琛. (2023). 基于机器学习的高职院校学生学业危机预警分析研究. 山西能源学院学报, 36(6), 41-43.
[11] 章彦博, 黄峰, 莫柳铃, 刘晓倩, 朱廷劭. (2025). 基于大语言模型的自杀意念文本数据增强与识别技术. 心理学报, 57(6), 987-1001.
[12] Ballı M., Dogan A. E., Senol S. H., & Eser H. Y. (2025). Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic.Sci Rep, 15(1), 13843. doi: 10.1038/s41598-025-97387-4
[13] Caplan, G. (1964). The Principles of Preventive Psychaitry. New York: Basic.
[14] Escuadra C. J., Magallanes K., Lee S., & Chung J. Y. (2023). Systematic analysis on school violence and bullying using data mining. Child Youth Serv Rev, 150, 107020. doi: 10.1016/j.childyouth.2023.107020
[15] Ramesh V., Parkavi P., & Ramar K. (2013). Predicting student performance: A statistical and data mining approach.Int J Comput Appl, 63(8), 35-39. doi: 10.5120/10489-5242
[16] Richardson E., Trevizani R., Greenbaum J. A., Carter H., Nielsen M., & Peters B. (2024). The receiver operating characteristic curve accurately assesses imbalanced datasets.Patterns, 5(6), 100994. doi: 10.1016/j.patter.2024.100994
[17] Schislyaeva, E. R., & Saychenko, O. A. (2023). The design of a mental health service platform for college students based on multi-modal information.Microprocessors and Microsystems, 96, 104748.
[18] Sun, Q., & Su, Y. (2020). Psychological crisis intervention for college students during novel coronavirus infection epidemic.Psychiatry Res, 289, 113043. doi: 10.1016/j.psychres.2020.113043
[19] Tian, Z., & Yi, D. (2024). Application of artificial intelligence based on sensor networks in student mental health support system and crisis prediction.Measurement Sensors, 101056.
[20] Yang H., Diao J., Zhou T., Yao Z., Shi X., & Wang Z. (2019). Research and implement of course early warning system based on teaching behaviour data.J Phys Conf Ser, 1176(4), 042052. doi: 10.1088/1742-6596/1176/4/042052
[21] Zhao, J., & Song, H. (2021). Identification of psychological crisis signals of college students based on the Dufferin equation.Adv Math Phys, 2021, 1-12. doi: 10.1155/2021/4057328
[22] Zhang C., Wu Y., & Zhao T. (2023). An exploration of the extension evaluation of intervention capacity in higher education psychological crisis events.Procedia Comput Sci, 221, 650-656. doi: 10.1016/j.procs.2023.08.034
[23] Zhang Y., Wang W., Mi L., Liu Y., Qiao L., Ni G., & Wang X. (2024). Deconstructing the organizational resilience of construction firms in major emergencies: A text mining analysis of listed construction companies in China.Int J Disaster Risk Reduct, 106, 104473. doi: 10.1016/j.ijdrr.2024.104473
Outlines

/

〈 〉