In response to the current issues in music education, this study proposes a research framework for an AI-driven music education system. Given the application of AI technology in music education, an AI-based music education system has been designed. With the support of relevant literature, evaluation indicators for the music education system have been determined. At this level, the Analytic Hierarchy Process (AHP), Entropy Weight Method, and Fuzzy Comprehensive Evaluation Method have been employed to complete the design of the music education system evaluation scheme. Data for this study was collected through a questionnaire survey, and a quantitative analysis of the music education system was conducted. The results showed that the evaluation values of all indicators in the music education system under the AI technology framework were greater than 3 and less than 4, indicating that the construction of the music education system under the AI technology framework at this institution is in good condition. Further improvements in the integration of AI and music education can be made to enhance the level of music education at higher education institutions.
