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

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