Multi-Objective Optimization Path of Countermeasure Research on High-Quality and Balanced Development of Compulsory Education in Hebei Province in the Context of Digital Era

This paper analyzes the current situation and constraints in the allocation of resources for compulsory education in urban and rural areas of Hebei Province. It establishes a system for assessing the balanced development of the quality of compulsory education. And on the basis of this system, the ov...

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Published inApplied mathematics and nonlinear sciences Vol. 10; no. 1
Main Authors Zhang, Suwei, Yu, Hongxia, Yang, Xiangxiang, Li, Chao, Liu, Zhihua, Liang, Xiaohui
Format Journal Article
LanguageEnglish
Published Beirut Sciendo 01.01.2025
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Subjects
97B20
Compulsory education
Entropy power method
Multi-objective optimization path
Object element analysis method
Optimization
China
Hebei China
Online AccessGet full text
ISSN2444-8656
2444-8656
DOI10.2478/amns-2025-0722

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Abstract This paper analyzes the current situation and constraints in the allocation of resources for compulsory education in urban and rural areas of Hebei Province. It establishes a system for assessing the balanced development of the quality of compulsory education. And on the basis of this system, the overall and inter-school high-quality and balanced development of compulsory education in Hebei Province is measured through the object-element analysis method. The allocation of educational resources in districts and counties of Hebei Province is optimized through the Pareto multi-objective optimization algorithm. It is known from the study that the investment in education in Hebei Province has been increasing, growing to 529,846,700,000 yuan in 2023, and the development level of education has been increasing, with similar conditions in urban and rural schooling. However, there are still problems such as an imbalance in the structure of academic subjects and excessive inter-school differences. There are also 27.3% of schools whose overall evaluation of education quality is lower than the average level of education quality. The optimization strategy for the allocation of educational resources in the compulsory education stage proposed in this paper is of great significance in promoting the progress of balanced development of education.
AbstractList This paper analyzes the current situation and constraints in the allocation of resources for compulsory education in urban and rural areas of Hebei Province. It establishes a system for assessing the balanced development of the quality of compulsory education. And on the basis of this system, the overall and inter-school high-quality and balanced development of compulsory education in Hebei Province is measured through the object-element analysis method. The allocation of educational resources in districts and counties of Hebei Province is optimized through the Pareto multi-objective optimization algorithm. It is known from the study that the investment in education in Hebei Province has been increasing, growing to 529,846,700,000 yuan in 2023, and the development level of education has been increasing, with similar conditions in urban and rural schooling. However, there are still problems such as an imbalance in the structure of academic subjects and excessive inter-school differences. There are also 27.3% of schools whose overall evaluation of education quality is lower than the average level of education quality. The optimization strategy for the allocation of educational resources in the compulsory education stage proposed in this paper is of great significance in promoting the progress of balanced development of education.
Author Liu, Zhihua
Li, Chao
Yu, Hongxia
Zhang, Suwei
Yang, Xiangxiang
Liang, Xiaohui
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SubjectTerms 97B20
Compulsory education
Entropy power method
Multi-objective optimization path
Object element analysis method
Optimization
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