Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

1529-1538


DOI

Article

Analysis of higher education management strategy based on entropy and dissipative structure theory

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Authors

Miaomiao Ren Affiliation:
College of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing, 404120, China


Abstract

In order to explore the analysis of educational management strategies in Colleges and universities, a method based on entropy and dissipative structure theory is proposed. Firstly, we determine the connection length B, which refers to the shortest path between two elements in the structure diagram. The length of direct connection is 1, and the length of each transfer is added by 1. Secondly, calculate the total number of microscopic states of the system, A1, A1 = ∑∑ Lab, Third, calculate the probability value of the realization of the micro state of each connection:

P(a,b)=LabAa
P\left( {a,b} \right) = {{{L_{ab}}} \over {{A_a}}}

. Finally, the entropy of organizational structure between any two elements of the system at the same level vertically and horizontally is calculated: H1(ab) = −Pa(ab)lnPa(ab). The experimental results show that student satisfaction is considered to be an important dimension of management team performance evaluation. Through the survey of student satisfaction, it is found that the student satisfaction rate of two teams is 100%, the student satisfaction rate of two teams is 99%, and the satisfaction rate of one team is 98.5%, which shows that the management team has good performance. It is proved that the theory of entropy and dissipative structure can effectively improve the educational management strategy of colleges and universities.


Keywords

Entropy, Dissipative structure, Higher education, Management strategy, 90B06


Citation

Ren, M. (2022). Analysis of higher education management strategy based on entropy and dissipative structure theory. Applied Mathematics and Nonlinear Sciences, 7(2), 1529–1538. https://doi.org/10.2478/amns.2022.2.0142

Published by: Engineering Journals

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