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February 28, 2026Transactions on Artificial IntelligenceOpen Access

Recent Advances in Artificial Intelligence forMusic Education

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Authors

ZYZhengjie YangCity University of Hong KongGZGuanyi ZhaoCity University of Hong KongGYGuo YuIP Australia

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Implication

This survey analyzes AI's impact on music education, enhancing skill acquisition and assessment, and fostering creativity.

Key Points

  • The research aims to explore the role of AI in transforming music education across various domains.
  • Survey analysis of recent advancements in AI technologies for music.
  • Focus on four domains: learning, assessment, creation, and teaching.
  • Review of AI-driven tools and their pedagogical implications.
  • Identified AI tools that enhance personalized skill acquisition.
  • Highlighted advancements in automated performance assessment beyond basic metrics.
  • Noted innovations in AI-assisted composition and their collaborative potential.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69a288060a974eb0d3c03ec3https://doi.org/10.53941/tai.2026.100004
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial Intelligence-Assisted Music Education: A Critical Synthesis of Challenges and Opportunities2024 · 85 citations
  2. 2ARTIFICIAL INTELLIGENCE IN MUSIC EDUCATION: OPPORTUNITIES, CHALLENGES, AND PEDAGOGICAL PERSPECTIVES2026
  3. 3Impacts of Artificial Intelligence in Music Education: A Scoping Review of Instructional Strategies and Student Learning Outcomes2026
  4. 4Artificial Intelligence in Music: A Bibliometric and Systematic Review of Creation, Performance, and Education2026 · 2 citations
  5. 5Investigating the Effects of Artificial Intelligence in Music Learning and Composition2025