Title:
USING AI IN MUSIC EDUCATION: APPLICATIONS, CHALLENGES, AND PEDAGOGICAL APPROACHES

Authors:
Quynh Bui Dieu, Huong Ho Thi Thu, Oanh Duong Thi and Lan Tran Thi

Abstract:
Amid accelerating digital transformation, artificial intelligence (AI) has emerged as a pivotal force in redefining traditional educational models, particularly within arts disciplines that require significant individualisation, such as music. This study presents a narrative literature review to systematically categorise AI applications in music education and to identify the associated opportunities and risks. The analysis demonstrates that AI serves as both a “cognitive scaffold” and a co-creative partner, offering substantial support across performance, theory, and composition through real-time feedback and personalised learning pathways. These findings provide a valuable reference for educators seeking to make informed strategic decisions in developing intelligent and sustainable music learning ecosystems.

Keywords:
AI, Music Education, Cognitive Scaffolding, AR, Deep Learning

DOI:
https://doi.org/10.37500/IJESSR.2026.9214

Date of Publication: 17-04-2026