The role of artificial intelligence in personalized music teaching quality evaluation

With the increasing emphasis on personalized learning in the field of education, music teaching has gradually turned to personalized methods to meet the diversified needs of students. In order to ensure the high efficiency and pertinence of music teaching, it becomes particularly important to evaluate the quality of music teaching. The purpose of this study is to explore the role of artificial intelligence technology in personalized music teaching quality evaluation. This paper reviews the historical evolution and current personalized trend of music teaching through literature, and summarizes the basic theory and application model of artificial intelligence technology. On this basis, the empirical research method is used to carry out detailed data collection, model construction, data verification and analysis. The results show that by applying artificial intelligence technology, the quality of music teaching can be evaluated more accurately and efficiently, so as to provide targeted feedback and suggestions for teachers. This discovery not only brings a new evaluation tool to the field of music education, but also opens up a new research direction for the application of educational technology.