Artificial Intelligence in Music Education: Trends, Challenges, and Future Directions

Abstract

This study explores the integration of Artificial Intelligence (AI) in music education through a bibliometric analysis and scoping review. It identifies key research trends, influential works, and emerging themes related to AI-driven pedagogical applications. Beyond mapping scholarly output, the study synthesizes findings to highlight how AI enhances music learning through personalized feedback, operational efficiency, and improved music literacy. The analysis offers insights into AI's role in curriculum design and instructional strategies and proposes actionable implications for educators and researchers. The findings contribute to a deeper understanding of AI's impact and provide practical directions for advancing music education.