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Title: Intelligent music teaching system and method based on human-computer interaction technology

Authors: Wen Yang; Dongming Hu

Addresses: Music College, Sichuan University of Science and Engineering, Zigong, 643000, Sichuan, China ' Music College, Sichuan University of Science and Engineering, Zigong, 643000, Sichuan, China

Abstract: An intelligent music teaching system based on human-computer interaction is proposed to address limitations in traditional music education. The system includes three modules: video-supervised teaching, instrument selection, and course selection. These form a complete intelligent teaching framework. Experimental comparisons were made between traditional and intelligent methods across three key issues in music education. Feedback from six students showed improvements in learning efficiency, engagement, and personalised instruction when using the intelligent system. Data analysis confirms the system's potential to enhance music education by offering more interactive and tailored experiences. This study demonstrates the effectiveness of integrating interactive technology into music pedagogy.

Keywords: intelligent music teaching; human-centred computing; precision rate; cost of economy.

DOI: 10.1504/IJCEELL.2025.149041

International Journal of Continuing Engineering Education and Life-Long Learning, 2025 Vol.35 No.8, pp.20 - 40

Received: 07 Jan 2025
Accepted: 27 Jun 2025
Published online: 10 Oct 2025 *