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The influence of collaborative music creation supported by generative artificial intelligence on students' creativity
1Graduate School, Department of Education, Gachon University, Seongnam, Republic of Korea.
Frontiers in Psychology
|January 22, 2026
Summary
Generative artificial intelligence (GAI) significantly boosts college students' creative interest, self-efficacy, and learning in music creation. GAI-powered collaboration enhances perceived creative competence, offering insights for intelligent music education.
Area of Science:
- Education
- Artificial Intelligence
- Music
Background:
- Generative artificial intelligence (GAI) integration in education is growing, particularly its potential in creative learning.
- Mechanisms of GAI influence in music education are underexplored.
Purpose of the Study:
- Investigate GAI-supported collaborative music creation's impact on college students.
- Examine effects on creative interest, self-efficacy, self-regulated learning, and perceived creative competence.
Main Methods:
- Mixed-method approach combining structural equation modeling (SEM) and experimental design.
- Data collected from 405 university students in China.
Main Results:
- GAI support significantly enhanced creative interest (β=0.616), self-efficacy (β=0.557), and self-regulated learning (β=0.473).
- Creative interest, self-efficacy, and self-regulated learning predicted perceived creative competence (β=0.357).
- GAI-supported collaboration improved students' creative development compared to control groups.
Conclusions:
- Findings provide empirical support for AI-enhanced creativity models.
- Offers insights for designing intelligent music education environments.
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