Influence and Analysis of Music Teaching Environment Monitoring on Students’ Mental Health Using Data Mining Technology

Students currently mostly experience psychological issues like worry and fear, which are primarily brought on by the high demands placed on them. One psychotherapy technique is music therapy. The goal is to use music to enhance health, particularly as a tool to break down barriers both inside and ou...

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Bibliographic Details
Published in:Journal of environmental and public health 2022, Vol.2022 (1), p.1120156-1120156
Main Authors: Dong, Xinlei, Kang, Xin, Ding, Xiaolei
Format: Article
Language:English
Subjects:
Adjustment
Algorithms
Artificial intelligence
College students
Colleges & universities
Data analysis
Data mining
Emotions
Environmental monitoring
Errors
Learning
Mental health
Middle school students
Middle schools
Modules
Music education
Music therapy
Personality
Psychological assessment
Psychological factors
Psychology
Psychotherapy
Society
Structural models
Students
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Summary:Students currently mostly experience psychological issues like worry and fear, which are primarily brought on by the high demands placed on them. One psychotherapy technique is music therapy. The goal is to use music to enhance health, particularly as a tool to break down barriers both inside and outside the body. Based on data mining (DM) technologies, this paper examines the impact of music education on students’ psychological health. The study demonstrates that the DM algorithm utilised in this work has the lowest error rate, with an average error rate of only 6.90%, followed by the ACA method with an average error rate of 17.48%, and finally the AI algorithm with an average error rate of 29.35%. As can be shown, this approach is more suited to research the effects of music instruction on students’ psychological well-being. The functional module based on DM is developed through simulation experiments to confirm the application effectiveness of the DM algorithm. This is done by using the data source of DM and the structural model of the mining system to build this module on the foundation of the original psychological evaluation system.
ISSN:1687-9805
1687-9813
DOI:10.1155/2022/1120156