Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 1, 2023


Pages


DOI

Article

Innovative development of music education model in universities under stochastic process model analysis


Authors

Xiaoning Wang Affiliation:
Fuzhou University, Fuzhou, Fujian, 350000, China.
and Dajun Zhang Affiliation:
Putian University, Putian, Fujian, 351100, China.


Abstract

Based on the analysis of random phenomena, random variables, and random processes, this paper constructs a Markov chain-based model for evaluating the effectiveness of music teaching using Markov chains. Aiming at the core literacy of college music education, a new education model is proposed to cultivate students’ comprehensive music literacy and transform the method of college music education. Traditional evaluation methods and the Markov chain model are used to analyze data examples for the new model of music education. The probability of transferring the number of students whose first score was on the 89.9-80 scale to the 100-90 scale was 0.5115, greater than the probability value of 0.3650 for those still on the 89.9-80 scale. The transfer matrix of the experimental class was shifted to the left as a whole, indicating a high degree of student progress.


Keywords

Stochastic process, Markov chain, Music literacy, Transfer matrix, Educational model, 97M80


Citation

Wang, X. & Zhang, D. (2023). Innovative development of music education model in universities under stochastic process model analysis. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00899

Published by: Engineering Journals

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