Artificial Intelligence–Driven Innovation in Remote Music Education

Abstract

This paper explores the innovative use and implementation of a remote music education model based on artificial intelligence technology. It also investigates the application scenario of artificial intelligence technology in remote music education and evaluates the educational innovations brought by it. First of all, it reviews the development of artificial intelligence technology in the field of education, focusing on the application of artificial intelligence technology in remote music education in terms of feedback, personalized learning, and interactive teaching. Then, it analyses the core features and challenges of existing remote music education models, including problems like sound quality and latency and necessary information technology skills for teachers. By analyzing examples of AI-based music education platform applications both in China and abroad, it is shown that how AI technology provides personalized and quality learning experience for students using technology such as audio analysis, intelligent recommendation, and virtual accompaniment. It is found out that AI-based remote music education model solves the shortcomings of interactivity and personalization in traditional education and achieves the optimization of resource allocation.