This study employs a quasi-experimental design to empirically examine an innovative instructional model that integrates traditional Chinese music teaching methods with modern, AI-enhanced pedagogical concepts. Data were collected from 240 students enrolled in three major Chinese universities, divided equally into an experimental group and a control group. The experimental group was exposed to an AI-assisted integrated model of music learning, while the control group received traditional instruction only. A comparison of pre-test and post-test results using a standardised music learning achievement test revealed that students in the experimental group demonstrated significantly higher levels of musical performance, creative expression, and learning engagement. These findings confirm the superior efficiency and effectiveness of the AI-assisted instructional model, which has now been adopted by several Chinese universities. The results suggest that the traditional teacher-centred Chinese pedagogical approach can coexist harmoniously with technology-assisted learning. The integration of both approaches yields synergistic benefits: traditional methods cultivate interpretive and expressive artistry, while AI tools enhance mechanical precision and provide real-time, data-driven feedback for targeted skill improvement. Furthermore, students in the AI-assisted learning environment exhibited higher levels of motivation and enthusiasm, attributable to the immediate visual and auditory feedback that helps them identify weaknesses and pursue more disciplined practice. Overall, the study underscores the pedagogical potential of blending cultural heritage with technological innovation to advance music education in China.
