Intelligent Technology and Music Education: Utilizing Artificial Intelligence to Enhance Classroom Engagement and Learning Outcomes

Abstract

This study explores the application effect of artificial intelligence technology in music education. The data of the music education platform were collected through web crawler technology to evaluate its impact on improving classroom engagement and learning outcomes. The study adopted a quantitative analysis method. The results showed that the average scores of students in the experimental group using artificial intelligence tools in the post-test were significantly improved, while the improvement in the control group was smaller. The t-test analysis confirmed the significant improvement of learning outcomes by intelligent technology. Students showed higher interest and participation in interactive and personalised music courses containing artificial intelligence, and the data of views, likes and comments reflected positive feedback. Although the study has certain limitations, the conclusion shows that artificial intelligence technology has shown significant advantages in music education, which helps to innovate the traditional education model and improve the quality and effectiveness of teaching.