Construction and Application of a Big Data Analysis Platform for College Music Education for College Students' Mental Health

Construction and Application of a Big Data Analysis Platform for College Music Education for College Students' Mental Health

Xiaochen Wang, Tao Wang
Copyright: © 2023 |Pages: 16
DOI: 10.4018/IJDWM.324060
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Abstract

In this study, the authors devised a big data-driven evaluation model to measure the effect of college music education, aiming at filling the gaps of poor accuracy and time-consuming results of music education effect evaluation. Firstly, the authors determined the effect of an evaluation system of music for learning, and the evaluation of this effect. Then, they carried out a simulation experiment. The literature review evidenced that few domestic research reports considered college students' communication fear. Thus, combining the characteristics of current college students' psychological counseling and the theory of communication fear, the authors tried to apply the music system desensitization therapy to address college students' communication fear, from the intervention effect, feasibility, and therapy as a psychological counseling method. The results showed that music system desensitization therapy eliminates college students' fear of communication, reduces speech anxiety, reduces shyness, and improves interpersonal communication skills.
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Materials And Methods

Research on Artificial Intelligence in Music Education

Based on such development, the Tonara application can automatically (Oehme et al., 2019) turn pages following the beat and rhythm of the performer, providing five musical instruments (Fang, 2021). It is used to develop in the direction of emotional robots (Watson, 2019); also, it includes the teacher model and the learner model, which reflects the whole content of the teaching system development (Biasutti et al., 2022) and feeds it back to it. Such mechanism can be explained (Goodwill et al., 2019).

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