Research on the application of big data analysis in the quality evaluation of music aesthetics education curriculum

Tingxue Yan
School of Popular Music, Nanjing University of the Arts, 210013, Jiangsu, China

Abstract:

Based on the research on the current poor effect of music aesthetics teaching quality, this paper puts forward a music aesthetics education curriculum quality evaluation method combined with big data analysis technology, collects teaching information by using big data analysis technology, and constructs the music aesthetics education curriculum quality evaluation model according to the collection phenomenon, so as to ensure the accuracy of the evaluation results, further optimize the quality evaluation algorithm of music aesthetics education curriculum. Finally, the use proves that the music aesthetics education curriculum quality evaluation method based on big data analysis has high accuracy and practicability, which can better evaluate and supervise the music teaching classroom and improve the teaching quality