Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 14, 2024


Pages


DOI

Article

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

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Authors

Pengyan Chen Affiliation:
Teaching Assistant, Department of Education, Zhengzhou College of Finance and Economics, Zhengzhou, Henan, 450000, China.


Abstract

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).


Keywords

Multiple intelligences theory, Music education, Problem recognition, Natural language processing, CRF subwording, 97M80


Citation

Chen, P. (2024). An empirical study of ai-assisted teaching method in music education based on multiple intelligences theory. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3282

Published by: Engineering Journals

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