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The Impact of Artificial Intelligence on Music Pedagogy and Student Mental Health

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  • Lihua Li

    (Hengyang Preschool Normal College, China)

Abstract

This study explores the interplay between artificial intelligence (AI)–enabled music education and student psychological well-being. As AI drives the transformation of music pedagogy and music gains recognition for its role in mental health interventions, the pairing of AI and music presents new opportunities and challenges. This research proposes an interdisciplinary framework to examine how AI enhances the psychological benefits of music instruction—through personalized feedback, emotional monitoring, and immersive experiences—while addressing the associated risks, such as overreliance on algorithms and data privacy concerns. An experiment with 120 university students revealed that AI-assisted learning significantly improved heart rate variability, reduced cortisol levels, lowered Symptom Checklist–90 scores by 19.1%, and increased self-efficacy by 27%. The findings support a human–AI collaborative approach that maximizes technological advantages while safeguarding emotional connection and ethical responsibility.

Suggested Citation

  • Lihua Li, 2026. "The Impact of Artificial Intelligence on Music Pedagogy and Student Mental Health," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global Scientific Publishing, vol. 21(1), pages 1-14, January.
    • Handle: RePEc:igg:jhisi0:v:21:y:2026:i:1:p:1-14
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