Journal of Higher Education Research

With the rapid development of artificial intelligence technology, AI applications in education have become increasingly widespread, bringing new opportunities and challenges to music composition teaching. Based on constructivist learning theory, this study deeply explores the application value and implementation paths of AI technology in music composition teaching. Through analyzing the functional positioning of AI technology in music composition teaching, the dual role of artificial intelligence as an auxiliary tool and teaching interaction facilitator is elaborated. The research finds that AI technology can effectively support the construction of personalized music composition learning models and promote the optimization and upgrade of teaching evaluation systems. On this basis, optimization strategies for improving teacher professional literacy and integrating teaching resources are proposed, providing theoretical reference for promoting the deep integration of AI technology and music composition teaching. The study shows that the introduction of AI technology can not only enhance students' music composition ability and learning interest but also promote the overall improvement of teaching quality, which has important significance for advancing the modernization of music education.