Research on the Collaborative and Shared Path of AI-Empowered Undergraduate Music Courses

Authors

  • Jinhui Xie

DOI:

https://doi.org/10.54097/nwtp2f39

Keywords:

AI Empowerment, Undergraduate Music Programs, Inter-University Collaboration, Collaborative Sharing, Curriculum Development

Abstract

In response to the policy requirements of AI-assisted educational transformation under the digitalization strategy of education, and supported by the theories of collaboration and the concepts of resource sharing and complementary advantages, this study analyzes the practical case of the 'Chinese Music History and Masterpiece Appreciation' course alliance in Jiangxi Province, aiming to explore collaborative and shared pathways for AI-enabled undergraduate music courses.AI is not only applied in curriculum development, classroom teaching, and assessment evaluation, but should also be used for technological advancement, upgrading inter-school collaboration, and transforming talent training. The AI-empowered model of collaborative and shared cross-school courses not only responds to the needs of the times and policies but can also provide a practical paradigm for other universities in building interdisciplinary cross-school courses.

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Published

25-12-2025

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Section

Articles

How to Cite

Xie, J. (2025). Research on the Collaborative and Shared Path of AI-Empowered Undergraduate Music Courses. Journal of Education and Educational Research, 16(3), 164-172. https://doi.org/10.54097/nwtp2f39