AI-Based Feedback Systems in Piano Education: Effects on Technical Accuracy and Learner Autonomy

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DOI:

https://doi.org/10.5216/mh.v26.85176

Palavras-chave:

artificial intelligence, feedback systems, music pedagogy, musical performance quality, piano practice analysis

Resumo

This study aims to empirically evaluate whether the use of an AI-based feedback system, in combination with traditional instruction, can improve technical accuracy and promote learner autonomy among piano students, compared to a control group receiving only conventional training. The sample consisted of 240 first-year piano majors. Learner autonomy was assessed using the Autonomous Educational Learning Scale, while technical accuracy in piano performance was evaluated through multimodal analysis employing Onsets & Frames and MediaPipe software. The findings confirmed the positive impact of the AI-based feedback system (PFS-AI, Onsets & Frames, MediaPipe) on both learner autonomy and technical proficiency. A mixed-design ANOVA revealed significant main effects of time and group, as well as their interaction. The study offers practical and scholarly insights by empirically validating the effectiveness of AI-driven feedback systems, suggesting their potential to reduce instructional burden and enhance the quality of piano education.

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Biografia do Autor

Xiaodong Deng, Department of Keyboard Music Education, Shenyang Conservatory of Music, Shenyang, China xiaodongdeng@chinesefineart.org

Xiaodong Deng holds a PhD and is a Lecturer in the Department of Keyboard Music Education at the Shenyang Conservatory of Music, Shenyang, China. He earned a Master's degree in Piano Performance from the Odessa National Academy of Music, Ukraine. His research focuses on piano pedagogy, artificial intelligence in music education, music technology, and expressive performance. He has published academic articles and the monograph The History and Evolution of Piano Music Culture, and serves as principal investigator of research projects on piano talent development. He also acts as a juror in national and international piano competitions.

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Publicado

2026-07-01

Como Citar

DENG, Xiaodong. AI-Based Feedback Systems in Piano Education: Effects on Technical Accuracy and Learner Autonomy. Música Hodie, Goiânia, v. 26, 2026. DOI: 10.5216/mh.v26.85176. Disponível em: http://revistas.ufg.br/musica/article/view/85176. Acesso em: 8 ago. 2026.

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