ARTICLE ANALYSIS

Analysis of article using Artificial Intelligence tools





Id 2569
Author Dong X.; Kang X.; Ding X.
Title Influence and Analysis of Music Teaching Environment Monitoring on Students' Mental Health Using Data Mining Technology
Reference

Dong X.; Kang X.; Ding X. Influence and Analysis of Music Teaching Environment Monitoring on Students' Mental Health Using Data Mining Technology,Journal of Environmental and Public Health 2022

Keywords Data Mining; Humans; Mental Health; Music; Students; Technology; algorithm; article; controlled study; data mining; education; environmental monitoring; human; human experiment; mental health; mining; music; psychologic assessment; psychological well-being; simulation; structural model; teaching; data mining; psychology; student; technology
Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139889516&doi=10.1155%2f2022%2f1120156&partnerID=40&md5=f9600bbb2c5a1276016d521073f00704
Abstract 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. © 2022 Xinlei Dong et al.

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