Author(s)

Li Jin ¹

Affiliation(s)

¹ Lingnan Normal University, Zhanjiang, Guangdong, 524048, China

Corresponding Author

Li Jin

ABSTRACT

The rapid development of AI technology is profoundly transforming the way piano is taught and learned in colleges. Traditional piano instruction is limited by factors such as the availability of teachers and delays in practice feedback. The introduction of AI provides new solutions for personalized learning, intelligent feedback, and remote guidance. This study explores the core applications of AI in college piano learning, including intelligent recognition and real-time feedback systems, data-driven personalized instruction, AI-assisted accompaniment, and virtual teachers. It analyzes the impact of AI on learning efficiency, teaching resource allocation, and pedagogical innovation while identifying challenges such as accuracy, adaptability, and data privacy. To enhance AI's value in piano education, strategies such as optimizing intelligent feedback systems, refining personalized instruction, improving virtual teacher interactions, and strengthening data security management are proposed. The study concludes that AI technology significantly improves piano learning efficiency and optimizes teaching resources but requires continuous refinement to better serve higher music education.

KEYWORDS

Artificial Intelligence; College Piano Education; Intelligent Feedback; Personalized Learning

CITE THIS PAPER

Li Jin, Research on the Application and Impact of AI Technology in College Piano Learning. Curriculum and Teaching Methodology (2025) Vol. 8: 49-53. DOI: http://dx.doi.org/10.23977/curtm.2025.080608.

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