The Training Mode of Individualized Music Teaching Talents in Universities Based on Big Data

Abstract

Abstract The Internet and big data have deeply penetrated into various fields, which has greatly affected and changed our music education. The purpose of this article is to explore the cultivation of personalized music teaching talents in universities based on big data, with a view to promoting the cultivation of personalized music talents in universities under big data. This article conducted a questionnaire survey on some students majoring in music in our sophomore and junior colleges. Through analysis, it can be concluded that 85.29% of the students believe that the school’s music teaching method is relatively traditional and the talent training model is backward; 74.51% of the students think that the school has neglected personalized training and still adopts the traditional "one size fits all" teaching model. Based on this, the recommendations for the cultivation of personalized music teaching talents in colleges and universities are put forward, which is expected to meet the personalized and diverse music learning needs of students and promote the cultivation of personalized music talents in my country.