Influence of the Development of Internet Big Data on College Students' Music Education

Abstract

Under the background of globalisation and diversification, how to construct a music culture with national characteristics and develop music education with both diversity and localisation is a major issue that music education theory and research in China must face up to. This study begins with a theoretical overview and uses big data analysis to construct a framework for teaching localisation. Then the localisation methods of educational concepts and practical operations are sorted out, and the construction of the localised teaching model of Orff music pedagogy is introduced. Finally, this paper describes the big data analysis of the localised teaching model in terms of cluster trend analysis and determining the number of clusters analysis. The results show that the Chinese music pedagogy of Orff is realised on the basis of improving students' music knowledge and achieving their all-round development. The experimental data effectively improved the speed and accuracy of the big data analysis algorithm. This study is significant for the localised music education system in China.