Evaluation elements of regional balanced development of compulsory education combined with the deviation-maximisation approach
Publié en ligne: 08 nov. 2023
Reçu: 03 déc. 2022
Accepté: 19 mai 2023
DOI: https://doi.org/10.2478/amns.2023.2.01043
Mots clés
© 2023 Fangling Yang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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.