Analysis for Online Music Education Under Internet and Big Data Environment

Abstract

Online music teaching has brought great challenges to traditional music education. This paper investigates the paradigm of online music education and uses neural networks to evaluate its teaching quality based on the internet and big data. The main work is as follows: 1) The research progress of online music education at home and abroad is introduced. 2) This paper introduces the basic principle and algorithm steps of BPNN and establishes the evaluation index system of online music education quality. The experimental results show that the model proposed in this paper has high accuracy in evaluating online music teaching standards.