Abstract

The research expects to explore the psychological mobilization of innovative teaching methods of Music Majors under the new curriculum reform. The relevant theories of college students’ innovative teaching methods are analyzed under deep learning together with the innovation and construction of music courses. Thereupon, college students’ psychological mobilization is studied. Firstly, the relationship between innovation and entrepreneurship teaching and deep learning is obtained through a literature review. Secondly, the music classroom model is designed based on the deep learning theory, and the four dimensions of the music curriculum are defined to innovate and optimize the music teaching model. Finally, the Questionnaire Survey (QS) is used to analyze the design classroom model. Only 15% of the 180 respondents understand the concept of deep learning, 32% like interactive music learning, and 36% like competitive comparative music classroom learning. And the students who study instrumental music have higher significant differences in learning motivation than those who study vocal music. In addition to classroom learning, 16% of people improve their music skills through music equipment. College students like interactive music classes and competitive comparison classes that can give more play to their subjective initiative. After the new curriculum reform, the music curriculum based on deep learning can stimulate students’ interest in learning and participate in the mobilization of students’ learning psychology. Therefore, in the future of music education and teaching, there is a need to pay more attention to students’ psychological status. The research results can provide references and practical significance for the innovative teaching activities of music classrooms after the new curriculum reform.

Highlights

  • At the beginning of the twenty-first century, the eighth basic education curriculum reform has been vigorously developed in China, in which academic evaluation has become crucial

  • To better study the innovative teaching methods of Music Majors in higher institutions under the background of the new curriculum reform, this paper adopts the methods of Questionnaire Survey (QS), literature survey, and Field Investigation (FI)

  • The view of the genre of ternary theory (Panagakis et al, 2021) is quoted, which is represented by Nelsonlarid et al (2020) the ternary theory has put forward the scale of deep learning (Yang et al, 2021), and deep learning is defined from three specific dimensions (Zaidi and Naqa, 2021)

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Summary

INTRODUCTION

At the beginning of the twenty-first century, the eighth basic education curriculum reform has been vigorously developed in China, in which academic evaluation has become crucial. Some Music Majors in local universities have narrow professional caliber, weak professional foundation, weak comprehensive quality, and creative ability, and are not enthusiastic about education. The reasons for these problems are various. To better study the innovative teaching methods of Music Majors in higher institutions under the background of the new curriculum reform, this paper adopts the methods of Questionnaire Survey (QS), literature survey, and Field Investigation (FI). The innovative teaching methods are studied under the background of the new curriculum reform together with the mobilization of Music Majors’ learning psychology in higher educations to improve the understanding of deep learning, improve students’ psychological state during music learning, and lay the foundation for the innovative model of deep learning classroom in the future. Combined with the current situation of music education, this paper makes a statistical analysis of the music items in the current teaching materials and obtains the optimized teaching methods of curriculum reform

Innovative Teaching Methods
Concept of Deep Learning
Analysis of Music Education
Research Route
Question pose
Purpose and Method of Investigation
Questionnaire Survey Design
Nuumber Number
Learning motivation
Initiative Performance Analysis
Listen to music before you go to sleep
CONCLUSION
Findings
ETHICS STATEMENT

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