Research Overview on the Teaching Mode and System Construction of Traditional Instrumental Music in Universities under the Background of AI Empowerment

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Authors: Yuan Zhu, Kaiqing Wang, Yuezhe Ling
Cited by: 0

Abstract

In an era where digital technologies are deeply embedded in socio-cultural development, their profound integration with the field of education is bringing new opportunities for systemic transformation to traditional instrumental music teaching in universities. This paper focuses on the integration and application of artificial intelligence technology in this domain, providing a systematic review of related research and practical developments both domestically and internationally. Through an analysis of current trends, this study identifies the shortcomings and limitations of existing achievements. Furthermore, it proposes a systematic framework for development around key areas such as core theoretical foundations, innovative teaching models, curriculum reform empowerment, optimization of teaching practices, focused teaching evaluation, and technological software support. The aim is to offer theoretical insights and practical guidance for advancing the intelligent transformation and substantive development of traditional music education in Chinese higher education institutions.

Fields of Study & Subjects

Music Education and Analysis Educational Technology and Pedagogy Artificial Intelligence in Education

Publication details

Journal / source
Arts Studies and Criticism
Volume
6
Issue
6
Pages
520–520
Publication date
17 January 2026
Language
EN