Abstract
The traditional long-distance sharing method of teaching resources is insufficient in the analysis of resources, and it is difficult to achieve a clear classification, which leads to the low integrity of resource collection and transmission. According to the functional characteristics of the curriculum resources, adjust the screening process of music teaching resources, collect and sort out folk music materials, use big data analysis technology to build open teaching mode, and design a remote sharing method. The results show that the transmission integrity of the remote sharing method is 66.990%, 57.450% and 58.190% respectively, which shows that the remote sharing method has better performance.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhan, J. (2022). Remote Sharing of National Music Teaching Resources Based on Big Data Analysis. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_22
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DOI: https://doi.org/10.1007/978-3-031-21164-5_22
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