An empirical study of AI-assisted teaching method in music education based on multiple intelligences theory

In the process of researching innovative methods of music teaching, this paper takes the theory of multiple intelligences as the theoretical support of AI-assisted teaching methods to assist music teaching design ideas. The multiple intelligence theory is used to propose an auxiliary Q&A system for music education. After conducting basic theoretical research on the seven dimensions of the multiple intelligence theory, the preliminary design of the auxiliary Q&A method for music education is carried out, and finally, an auxiliary Q&A system for music teaching is proposed, which mainly consists of four major modules, namely, question-answering, question-retrieval, question-browsing, and backstage management. Through empirical testing, this paper concludes that in the post-test comparison experiment of the intelligence of students in the experimental class and the control class, the experimental class students’ bodily-kinesthetic intelligence and musical intelligence, etc., have been significantly improved (P<0.01).