Artificial Intelligence-Based Online Education System for University Music

Abstract

Aiming at the problems that students in the traditional music teaching system seldom participate in the system interaction and the relatively few types of system transportable files, this research designs and researches the music teaching system in school through artificial intelligence technology, streaming media technology, and webcast technology. The system mainly designs specific online classroom teaching modules according to the main characteristics of college music teaching. The system mainly adopts the b/s framework. Through the system performance test, the system response time is less than 2.5 when 200 people visit. Even when 500 people visit, the response time exceeds 3S, but it also maintains a certain performance level.