Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 4, 2023


Pages


DOI

Article

Design of an online interactive teaching platform for rural music education based on artificial intelligence

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Authors

Yifan Zhang Affiliation:
Conservatory of Music, Shijiazhuang University, Shijiazhuang, Hebei, 050000, China.
and Wei Song Affiliation:
Conservatory of Music, Shijiazhuang University, Shijiazhuang, Hebei, 050000, China.


Abstract

This paper analyzes the elements of music curriculum based on artificial intelligence, reveals the nature of weighted linear regression through the nature of the weight function, and establishes a rural music education model using the weighted least squares method. According to the numerical characteristics of multidimensional random vectors, given multidimensional random vectors, the data set of the music teaching platform is set as the country music education indicator using the coordinate coefficient number vectors of each dimension of teaching. It was found that the passing rate of learning ability in the rural music education interactive teaching platform was as high as 97%, and schools should make full use of artificial intelligence technology to promote the better application of the interactive teaching platform in music online education and provide an effective way for rural primary and secondary school music education.


Keywords

Artificial intelligence, Least squares, Multidimensional random vectors, Coordinate system number vectors, Rural music education, 97M80


Citation

Zhang, Y. & Song, W. (2023). Design of an online interactive teaching platform for rural music education based on artificial intelligence. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00944
4 Total citations
7.51 FWCI
1 Recent citations
(2 years)
17 References
Open Access Yes
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