Research on Restructuring the Piano Lesson Teaching Model in the Context of Artificial Intelligence
Vol. 5 (2025): 2025 3rd International Conference on the Sociology of the Global Economy, Education, Arts and Humanities (GEEAH 2025)
Received: 2026-05-23
Accepted: 2026-05-23
Published: 2026-05-23
Abstract
With the vigorous development of artificial intelligence (AI) in education, traditional piano teaching faces challenges such as low personalization, delayed feedback, and underutilization of classroom resources. Based on a systematic review of traditional piano teaching models and AI applications in education, and informed by cognitive psychology and intelligent teaching theories, this study employs a combination of questionnaires, in-depth interviews, and teaching experiments to analyze the current state and problems of piano classrooms. On this basis, we construct a restructured teaching model that integrates an intelligent teaching platform, personalized learning paths, and adaptive feedback, and conduct practical implementation and effectiveness evaluation in representative schools and student groups. The results show that this model significantly enhances student engagement, optimizes classroom management, and improves practice efficiency, while also revealing limitations in platform maturity and teacher training requirements. Finally, we discuss the feasibility and considerations for wider adoption of the model and propose future research directions in multimodal interaction and interdisciplinary integration.
Keywords
References
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Published in2026-05-23 15:56:42
DOI 10.70088/xk8cht06
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Copyright: © 2025 by the authors.
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Copyright © The Author(s), 2025. Published by GEEAH 2025
Journal Information
- Vol. 5 (2025): 2025 3rd International Conference on the Sociology of the Global Economy, Education, Arts and Humanities (GEEAH 2025)
- 2026-05-23
- ISSN: (Print) 3078-770X/ (Online) 3078-7718
- Journal Homepage