Title: Reflections on strategies for psychological health education for college students based on data mining

Authors: Die Meng; Beibei Ma; Shiying Li

Addresses: College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China ' College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China ' College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China

Abstract: In order to improve the mental health level of college students, a data mining based mental health education strategy for college students is proposed. Firstly, analyse the characteristics of data mining and its potential value in mental health education. Secondly, after denoising the mental health data of college students using wavelet transform, data mining methods are used to identify the psychological crisis status of college students. Finally, based on the psychological crisis status of college students, measures for mental health education are proposed from the following aspects: building a psychological counselling platform, launching psychological health promotion activities, establishing a psychological support network, strengthening academic guidance and stress management. The example analysis results show that after the application of the strategy in this article, the psychological health scores of college students have been effectively improved, with an average score of 93.5 points.

Keywords: data mining; college students; psychological health; educational strategies; stress management.

DOI: 10.1504/IJBIDM.2024.140904

International Journal of Business Intelligence and Data Mining, 2024 Vol.25 No.3/4, pp.394 - 408

Received: 30 Aug 2023
Accepted: 28 Feb 2024
Published online: 03 Sep 2024 *

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