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August 18, 20250 citationsOpen Access

Investigating the Effects of Artificial Intelligence in Music Learning and Composition

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SMShambhavi Madhusudhanan

Key Points

  • AI enhances personalised learning and composition in music, boosting student engagement and creativity.
  • Students' motivation and self-efficacy improve in AI-facilitated environments, showing promising educational outcomes.
  • The literature review examines various applications of AI in music education, including VR/AR learning.
  • A balanced approach between AI and human teaching is essential to preserve emotional depth in creative practices.

Abstract

In recent years, many industries have been transformed with the rapid rise of artificial intelligence, and the music industry is no exception. Given the rise of AI-integrated apps and generative software, it is important to understand both their potential for personalisation, lowering musical boundaries and boosting engagement and the risks they pose such as overreliance, inhibiting creativity, and reducing emotional depth in creative practices. This literature review explores the impact of artificial intelligence on the learning and composition of music. It delves into the various applications of AI in music education, including personalised learning, music composition and production, and VR/AR learning environments. It also examines the impact of AI on students' motivation, mood and self-efficacy, and growth. Finally, the study discusses the importance of a balance between AI and human teaching.

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Cite This Study

Shambhavi Madhusudhanan (2025) studied this question.

synapsesocial.com/papers/68af4322ad7bf08b1ead201dhttps://doi.org/10.38124/ijisrt/25aug367
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