Artificial Intelligence-Assisted Music Learning: A Systematic Review of the Risks and Crises of Higher Music Education

Abstract

Based on the rapid development of artificial intelligence (AI) technology and its increasing application in music education, we need to understand the application and development trend of AI in higher music education, as well as possible risks and crises. Supported by qualitative research methods, this study focuses on literature review and analysis. This study selects scientific publications to evaluate the influence of AI on all aspects of music learning, to further develop the application of AI in music education. The research in the summary shows that AI can effectively promote students' participation and investment in music learning, enhance the learning experience, increase the number of students and the efficiency of teachers, and improve the supervision, implementation, and evaluation of music courses. It is suggested to further discuss the effective curriculum design or implementation strategy of integrating AI into music education, which is very important for effectively improving the effect of music learning.