ARTICLE
31 July 2025
Transformation of the Teaching Mode for Higher Vocational Public Music Courses in the Context of Artificial Intelligence
Libei He
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1
Zhejiang Zhoushan Tourism and Health College, Zhoushan 316100, Zhejiang, China,
JCER 2025 , 9(7), 286–291;
https://doi.org/10.26689/jcer.v9i7.11375
© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract
In recent years, the rapid integration of artificial intelligence (AI) with various industries has led to an intelligent transformation in people’s learning and working patterns. In the field of higher vocational public music course teaching, AI provides intelligent teaching tools and learning platforms, while offering students timely and scientific support and companionship, enabling them to complete learning tasks more efficiently. How to explore the transformation path of teaching modes for higher vocational public music courses in the AI context has become a key consideration for frontline teachers. Based on this, this paper first analyzes the significance of teaching higher vocational public music courses in the AI context, and then proposes feasible transformation paths for teaching modes in combination with course characteristics for reference.
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