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

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.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icaie64856.2025.11158139
Citations
2
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
4.96
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article

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

Chamil Arkhasa Nikko Mazlan, Riyan Hidayatullah, Sajastanah Imam Koning, Mohd Yusran Mohd Yusoff et al.
2 citations
Educational Technology and Pedagogy
4.96
article

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

Chamil Arkhasa Nikko Mazlan, Riyan Hidayatullah, Sajastanah Imam Koning, Mohd Yusran Mohd Yusoff, Surasak Jamnongsarn, Dayang Siti Hazar Awang Hassim
article en
2 citations

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.

Lampung University (ID), Sultan Idris Education University (MY), Universitas Bandar Lampung (ID), Universiti Teknologi MARA System (MY), Srinakharinwirot University (TH), Universiti Teknologi MARA (MY)
Openalex Percentile: Top 5%
Educational Technology and Pedagogy
4.96
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Artificial Intelligence in Music Education: Trends, Challenges, and Future Directions — Chamil Arkhasa Nikko Mazlan, Riyan Hidayatullah, et al. · (2025) | TGRS Research Map | TGRS