A Study on the Industrial Necessity and Future Value of Generative AI-Based Intelligent Music Coaching Systems -Focusing on the AI Experience (AX) of AI Companions-

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Key Points

The aim is to propose a generative AI-based intelligent music coaching system to address the limitations of traditional music education.
Developed the MEW AI Architecture to enhance music coaching.
Utilized state modeling and the Minimum Practice State framework to create personalized routines.
Incorporated edge AI to emulate unique teaching methodologies of educators.
The AI system improved objective assessments of learner progress with over 70% integration of unconscious play data.
Established an innovative educational ecosystem that integrates human educators' unique teaching styles with data-driven metrics.
Promoted a new industrial standard that upholds educational quality through collaboration between AI and human instructors.

Demonstrates the effectiveness of AI coaching systems in music education, indicating an innovative shift in teaching methods.

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Cho et al. (2026) studied this question.

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