Research on the Improvement Method of Music Education Level under the Background of AI Technology

Abstract

To improve the demand pressure of traditional music on space, music equipment, and funds in the teaching mode, this study presents a music education model based on the model view controller (MVC) framework structure based on AI technology; the model optimizes traditional music education by intelligent adjustment of computational audio and three-frequency equalizer, through the integration of artificial intelligence and music education; seven feasible explorations are put forward; and its effects and the value and future development trend of artificial intelligence in music education were also analyzed. Subsequently, the bivariate t-test was used to check and accept the teaching effect of the implemented music education classroom, and teacher and parent satisfaction with music education in the AI background was compared. The results show that, compared with traditional teaching models, music education based on AI background has high satisfaction among students, teachers, and parents. This study lays a solid foundation for the future integration of music education and intelligent technology, and the investment of artificial intelligence can effectively expand the popularization of high-quality music education, thus expanding the level of universal music education in China, improving the national music literacy, and providing valuable development ideas for the research of artificial intelligence technology in other teaching fields.