Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

September 3, 2024


Pages


DOI

Article

Analysis of Effective Approaches and Effectiveness of College Students’ Mental Health Education under the IMB Model

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Authors

Zhuojun Li Affiliation:
Hainan Health Management College, Department of Psychology, Chengmai, Hainan, 571900, China.
and Zhibo Yang Affiliation:
Guangdong Innovative Technical College, Medicine and Health Institute, Dongguan, Guangdong, 523000, China.


Abstract

Carrying out mental health education is an important way to carry out college students’ mental health education work, and it is also an important way to popularize mental health knowledge and improve college students’ psychological literacy. Combined with the IMB model, the article proposes an effective way of mental health education for college students, and out of the need to objectively analyze the psychological well-being of students, it designs and implements a psychological knowledge map model and finally constructs an SVM prediction model based on the knowledge map. The main conclusions drawn from the experiments using the model proposed in this paper are: a portion of the students have a potential risk of suicide, with 33.32% of the lower and above, 18.65% of the medium and above, and 5.86% of the higher and above, and more than half of the first-year college students have different degrees of depression. In the test of the difference between experimental and control classes on the posttest, p=0.021<0.05, p=0.012<0.01, p=0.046<0.05, so the overall score of the posttest of the experimental class was higher than the posttest of the control class.


Keywords

IMB model, Mental health education, Knowledge map, SVM predictive modeling, 22A10


Citation

Li, Z. & Yang, Z. (2024). Analysis of effective approaches and effectiveness of college students’ mental health education under the IMB model. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2429

Published by: Engineering Journals

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