Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

August 7, 2023


Pages


DOI

Article

Strategies for the transmission of ethnic music culture in college music education based on the background of big data

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Authors

Dali Zheng Affiliation:
School of Art and Design, Zhengzhou University of Economics and Business, Zhengzhou, Henan, 450000, China


Abstract

Ethnic music education in college music education is crucial to transmitting ethnic music culture. Based on the K-means algorithm and XGBoost algorithm in big data algorithm, this paper begins with the concept of folk music as “culture” and the theoretical basis of folk music education in colleges and universities as a preliminary theoretical preparation for the research. Through a questionnaire survey and data analysis of music majors and teachers in several colleges and universities in Liaoning Province that offer “folk music” courses, we summarize and analyze the current problems in teaching folk music and propose countermeasures for cultural inheritance. The analysis shows that people generally prefer popular music, and their liking for folk music is generally low, among which only Shenyang Normal College has more students who like folk music, 61%, and the least is Bohai University, only 4%. At the end of this paper, three corresponding reference countermeasures are proposed, including the establishment of multicultural awareness, a scientific and open concept, and the principles of folk music culture inheritance, which have implications for the inheritance of folk music culture.


Keywords

Big data, K-means algorithm, XGBoost algorithm, Ethnic music, 62-07


Citation

Zheng, D. (2023). Strategies for the transmission of ethnic music culture in college music education based on the background of big data. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00137

Published by: Engineering Journals

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