Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 8, 2023


Pages


DOI

Article

Evaluation elements of regional balanced development of compulsory education combined with the deviation-maximisation approach

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Authors

Fangling Yang Affiliation:
Department of Education, Cangzhou Normal University, Cangzhou, Hebei, 061001, China.
, Meiying Ni Affiliation:
Department of Education, Cangzhou Normal University, Cangzhou, Hebei, 061001, China.
and Mei Liu Affiliation:
Department of Education, Cangzhou Normal University, Cangzhou, Hebei, 061000, China.


Abstract

This paper constructs an algorithm-based evaluation model of compulsory education that combines the deviation maximization method to promote the balanced development of regional compulsory education. We determine if deviation maximization applies to evaluating the balanced development of compulsory education by analyzing its application scope. The evaluation objects are ranked when combined with the combination assignment method. The regional evaluation system for the balanced development of compulsory education uses the algorithm and evaluation problem description method. YaaHP software calculates each index’s final weight results to evaluate the balanced development of compulsory education. According to the results, the first-level indicators of evaluating balanced development of compulsory education have weights of 0.363799, 0.204804, 0.339897 and 0.091510, respectively. This study provides effective reference data for the development of compulsory regional education.


Keywords

Offset Maximization Method, Combined Empowerment, Indicator Weights, Regional Compulsory Education, Evaluation System, 68T05


Citation

Yang, F., Ni, M., & Liu, M. (2023). Evaluation elements of regional balanced development of compulsory education combined with the deviation-maximisation approach. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01043

Published by: Engineering Journals

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