Research on the Innovation Mode and Development Path of Ethnic Music Education in the Digital Environment of the New Era

Abstract

In the digital environment of the new era, there are problems that the education model of ethnic music cannot adapt to the needs of students and the teaching content is single. The article first takes the flipped classroom as the basis, and takes the students of major class 1 and class 2 of a music academy as the research object, and designs the ethnomusicology flipped classroom teaching experiment. In order to promote the diversification of the teaching content of ethnic music, this article proposes an intelligent generation model of ethnic music based on MCT-GAN, which utilizes MFCC to extract the audio features of ethnic music, and combines the temporal structure model with the multi-track correlation model, so as to realize the intelligent generation of ethnic music. It is found that the ethnic music generated by the model is more consistent with the chromaticity diagram of the original song, and the concordance, fluency and structure are acceptable to the audience. The application of flipped classroom in the teaching of folk music can significantly improve students' music performance, independent learning ability and music core literacy (P<0.01). The active introduction of intelligent technologies and teaching platforms in the digital environment can help promote the innovation of the teaching mode of ethnic music and realize the high-quality development of ethnic music education.