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Frontiers in Educational Research, 2023, 6(10); doi: 10.25236/FER.2023.061007.

The Innovation Analysis of the Development of College Music Education under Big Data


Xue Jiang

Corresponding Author:
Xue Jiang

College of Art, Liaoning University, Shenyang, China


To improve the overall development of music teaching in colleges and universities, DEA model and Malmquist index model were used for data analysis. The reasons for the decline of music education technology in colleges and universities were discussed and analyzed. Taking music education in colleges and universities as the research object, the efficiency index of music education was clarified. In the music education of colleges and universities, the education of humanity and wisdom was very important. Furthermore, a music teaching cloud platform integrating Internet and Intranet network technology was designed. The results showed that only the total factor productivity in 2013 and 2014 had a growth, and the total factor productivity in other years had declined. Therefore, this method improves the efficiency of music education to some extent.


Music education, DEA model, Malmquist exponential model

Cite This Paper

Xue Jiang. The Innovation Analysis of the Development of College Music Education under Big Data. Frontiers in Educational Research (2023) Vol. 6, Issue 10: 38-41. https://doi.org/10.25236/FER.2023.061007.


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