Psychological Adjustment and Emotional Health Care Strategies in the Teaching Process of College Music Teachers Based on Big Data Analysis

Songqing Ma, Yuhe Liu and Lianhui Li

Mathematical Problems in Engineering, 2022, vol. 2022, 1-10

Abstract: In music teaching in high schools, teachers should not only impart corresponding music knowledge to students but also focus on cultivating students’ comprehensive quality and quality. In the process of music teaching in universities, we should focus on students’ psychological adjustment and emotional health care. In order to quantify the application effect of big data technology in music teaching reform, this paper takes piano teaching in universities as an example to conduct research and mainly analyzes the physiological and psychological prediction effects involved in the teaching process. This paper introduces three typical big data technologies to predict and analyze the data involved in the existing piano teaching in universities. The analysis results show that the prediction effect based on the fuzzy neural inference system is the best. In addition, the three-dimensional display of the prediction data shows that the prediction effect obtained by big data technology shows good consistency and continuity, which indicates that the prediction method based on big data technology is suitable for psychological adjustment and emotional health care in music teaching in universities.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/mpe/2022/4501189.pdf (application/pdf)
http://downloads.hindawi.com/journals/mpe/2022/4501189.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:4501189

DOI: 10.1155/2022/4501189

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().