Research Trends Analysis on AI Music Education in Korea: Based on Academic Journals from 2018 to 2024

This research aims to analyze and reflect on the impact of artificial intelligence (AI) advancements on the field of music education in South Korea. A review of current research trends reveals a quantitative increase in AI-related studies, primarily driven by the growing demand for AI integration in music education. Most research has focused on exploring the philosophical directions of music education and developing educational programs, with relatively few empirical studies verifying the practical impacts of AI on music education. Methodologically, the research has shown a significant reliance on literature reviews, with limited focus on studies that directly involve teachers and students as participants. Despite AI discourse remaining somewhat limited within the field of music education, interdisciplinary studies involving AI are gradually expanding. Future research should address these gaps by exploring qualitative case studies, validating AI’s effectiveness, examining teachers’ practices and students’experiences, and pursuing interdisciplinary approaches. This broader approach is necessary for advancing AI’s role in music education.

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Publication Details

Journal
Korean Music Education Society
Published
2024-11-30
DOI
https://doi.org/10.30775/kmes.53.4.45
Primary Topic
Diverse Approaches in Healthcare and Education Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Research Trends Analysis on AI Music Education in Korea: Based on Academic Journals from 2018 to 2024

Wei Mo, Jaejung Kim, JW Kim
Korean Music Education Society
Diverse Approaches in Healthcare and Education Studies
article

Research Trends Analysis on AI Music Education in Korea: Based on Academic Journals from 2018 to 2024

Wei Mo, Jaejung Kim, JW Kim
article en

Abstract

This research aims to analyze and reflect on the impact of artificial intelligence (AI) advancements on the field of music education in South Korea. A review of current research trends reveals a quantitative increase in AI-related studies, primarily driven by the growing demand for AI integration in music education. Most research has focused on exploring the philosophical directions of music education and developing educational programs, with relatively few empirical studies verifying the practical impacts of AI on music education. Methodologically, the research has shown a significant reliance on literature reviews, with limited focus on studies that directly involve teachers and students as participants. Despite AI discourse remaining somewhat limited within the field of music education, interdisciplinary studies involving AI are gradually expanding. Future research should address these gaps by exploring qualitative case studies, validating AI’s effectiveness, examining teachers’ practices and students’experiences, and pursuing interdisciplinary approaches. This broader approach is necessary for advancing AI’s role in music education.

Korean Music Education SocietyVol. 53(4)
Openalex Percentile: Top 64%
Diverse Approaches in Healthcare and Education Studies
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