Abstract
This study explores how artificial intelligence (AI) can enhance music education by serving as an adaptive creative partner for both learners and instructors. Drawing on the experiences of Soundverse AI, a music technology startup, we propose that AI‐powered tools can expand students’ expressive range and foster more intuitive learning pathways. We examine how real‐time feedback and automated composition assistance can cultivate deeper engagement, support personalized skill development, and ultimately democratize music creation in educational settings. In our approach, AI‐driven modules assess student performances and provide actionable insights—suggesting chord progressions, flagging technical inaccuracies, and offering tips for refining melody or rhythm. By integrating these automated suggestions into practice sessions, students gain the freedom to experiment with new styles and complex musical ideas, boosting both confidence and creativity. Meanwhile, instructors receive data‐rich feedback, which they can use to tailor lessons and target areas in need of improvement. Our findings indicate that personalized AI guidance not only expedites skill acquisition but also sustains student motivation by encouraging iterative exploration rather than rote repetition. These intelligent tools serve as a complement to traditional teaching methods, freeing educators from time‐intensive tasks like repetitive assessments and manual feedback. By combining human insight with machine intelligence, we outline a forward‐looking model for music pedagogy and discuss potential impacts on learner motivation, collaboration, and creative expression. This synergy reveals a future of music education in which emerging musicians can take bolder steps toward mastering their craft.
Details
Presentation Type
Theme
KEYWORDS
MUSIC AI, EDUCATION, MACHINE LEARNING, CREATIVE COLLABORATION, PEDAGOGY
