Intelligent Pathways for the Preservation of Traditional Chinese Music Culture and Optimization of the Education System in the Big Data Environment

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Authors: Yun Li
Cited by: 0

Abstract

With the development of digital technology, the inheritance of traditional Chinese music culture requires the integration of intelligent technology advantages with the characteristics of traditional Chinese music culture, updating the path of inheritance and development, and accelerating the transformation of traditional Chinese music culture education towards intelligence and professionalism. Digital technology enables the intelligentization of traditional Chinese music culture inheritance. In the field of education and teaching, regarding data security management, this paper proposes utilizing blockchain's hash functions and cross-chain technology to design a cross-chain-based copyright protection scheme for traditional Chinese music culture resources, and establish a blockchain-based digital copyright protection and transaction system for traditional Chinese music culture. Functional testing of the blockchain-based digital copyright protection and transaction system for traditional Chinese music culture is conducted to verify its effectiveness in promoting the inheritance and development of traditional Chinese music culture. Surveys of students' perceptions of the inheritance and development of traditional Chinese music culture in school educational activities have identified activities that students recognize as important for inheritance. Combining digital technology, it is proposed that the inheritance of traditional Chinese music culture can be conducted thematically based on educational activities that students enjoy, ensuring the high quality and professionalism of the inheritance of traditional Chinese music culture.

Fields of Study & Subjects

Blockchain Technology in Education and Learning Music Education and Analysis Educational Technology and Pedagogy

Publication details

Journal / source
International Journal of Computer Information Systems and Industrial Management Applications
Volume
18
Pages
16–16
Publication date
7 February 2026
Language
EN