The Application of Big Data Technology in Teaching College Students’ Mental Health Education in Colleges and Universities

被引：0

作者：

Tan J. ^{[1
]}

Mao Y. ^{[1
]}

Li Y. ^{[1
]}

机构：

[1] Department of Student Affairs, Hunan Institute of Technology, Hunan, Hengyang

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Big data technology; College mental health; Data mining; Personalized intervention; Psychological crisis assessment;

D O I：

10.2478/amns-2024-0792

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Advances in big data technology herald a new era for mental health education in higher education, offering novel solutions to age-old challenges in student psychological care. This paper investigates how big data’s analytical capabilities can surpass traditional, one-size-fits-all mental health assessments by leveraging detailed student data for personalized care. We applied data mining techniques to the mental health data of 1,200 students from College G, creating a rich database of psychological patterns and a mental health information exchange platform. The analysis led to the identification of 500 instances of psychological distress with an accuracy of 79.5% and unveiled patterns linking academic stress and adjustment difficulties to mental health issues. Our research underscores big data’s role in enhancing mental health interventions, providing the groundwork for more individualized and effective mental health services in academic settings. © 2023 Jin Tan, Yanli Mao and Yaxiong Li, published by Sciendo.

引用

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