Music education in the age of AI: What educators and creators need to know

The integration of Artificial Intelligence (AI) in music education is transforming how students learn, create, and engage with music. This review explores the evolution and application of AI-driven technologies—from personalized learning systems and emotion-aware tutors to co-creative composition tools. By synthesizing recent empirical findings and theoretical models, this article highlights both the pedagogical potential and ethical complexities of AI in the music classroom. Despite notable advances in adaptive feedback, engagement, and accessibility, challenges such as cultural bias, data transparency, and teacher training remain unresolved. Future directions include building more inclusive datasets, enhancing co-creativity, and supporting educators through human-in-the-loop systems. This paper aims to equip educators, technologists, and researchers with a critical understanding of how AI is reshaping the landscape of music learning for the next generation.

Authors

Publication Details

Journal
International Journal of Science and Research Archive
Published
2025-07-05
DOI
https://doi.org/10.30574/ijsra.2025.16.1.1979
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Music education in the age of AI: What educators and creators need to know

Eduardo Duarte
International Journal of Science and Research Archive
Music Technology and Sound Studies
article

Music education in the age of AI: What educators and creators need to know

Eduardo Duarte
article en

Abstract

The integration of Artificial Intelligence (AI) in music education is transforming how students learn, create, and engage with music. This review explores the evolution and application of AI-driven technologies—from personalized learning systems and emotion-aware tutors to co-creative composition tools. By synthesizing recent empirical findings and theoretical models, this article highlights both the pedagogical potential and ethical complexities of AI in the music classroom. Despite notable advances in adaptive feedback, engagement, and accessibility, challenges such as cultural bias, data transparency, and teacher training remain unresolved. Future directions include building more inclusive datasets, enhancing co-creativity, and supporting educators through human-in-the-loop systems. This paper aims to equip educators, technologists, and researchers with a critical understanding of how AI is reshaping the landscape of music learning for the next generation.

International Journal of Science and Research ArchiveVol. 16(1)
Openalex Percentile: Top 86%
Music Technology and Sound Studies
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Music education in the age of AI: What educators and creators need to know — Eduardo Duarte · International Journal of Science and Research Archive (2025) | TGRS Research Map | TGRS