The Collision of Rationality and Artistic Essence: Progress and Trends in Artificial Intelligence Music Education Research

This research investigates the intricate relationship between technological rationalism and artistic essence in AI music education. Utilizing a systematic literature review methodology, relevant studies from the Web of Science Core Collection database between 2020 and 2025 were examined. The review identifies six principal applications of AI in music education: intelligent teaching systems, customized Learning, AI-assisted music composition, affective computing applications, intelligent assessment systems, and immersive teaching technologies. Research indicates three forms of alienation associated with technological integration: cultural, creative, and resource-based alienation. These challenges stem from the erosion of artistic integrity due to technological dominance, the limitation of creative diversity resulting from algorithmic standardization, and the inequitable distribution of educational resources caused by dependence on advanced technologies. Based on these findings, this research proposes a collaborative governance framework that integrates ethical constraints, technical corrections, and policy compensations to balance technological efficiency with artistic essence. The research results inform the development of an AI music education system that strikes a balance between technological empowerment and creative essence.