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September 12, 2025Korean Music Education SocietyOpen Access

Effects of Parameter-Based AI Composition on Self-Efficacy and Interest in Elementary Music Education

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The results revealed statistically significant improvements in self-efficacy among participants, enhancing their engagement.
Students exhibited an increased interest in creative music-making, indicating positive educational outcomes from the AI tool.
A mixed-methods approach involved quantitative analyses of pre- and post-tests alongside qualitative data from interviews and reflections.
These findings suggest that employing AI-assisted modular composition can support creativity in public school music curricula.

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Implication

Empirical study shows AI composition enhances self-efficacy and interest in 70 fifth graders, suggesting effective pedagogical strategies in music education.

Cite This Study

Han et al. (2025) studied this question.

synapsesocial.com/papers/68d44c4d31b076d99fa55e1f https://doi.org/10.30775/kmes.54.3.283

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Implication

Empirical study shows AI composition enhances self-efficacy and interest in 70 fifth graders, suggesting effective pedagogical strategies in music education.

Effects of Parameter-Based AI Composition on Self-Efficacy and Interest in Elementary Music Education

Key Points

Discussion

Implication

Cite This Study

Effects of Parameter-Based AI Composition on Self-Efficacy and Interest in Elementary Music Education

Key Points

Discussion

Implication

Cite This Study

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