Evaluating the potential trade-off between students’ satisfaction and school performance using evolutionary multiobjective optimization

نویسندگان

چکیده

In this article, we carry out a combined econometric and multiobjective analysis using data from representative sample of Andalusian schools. particular, four models are estimated in which the students’ academic performance (scores math reading, percentage students reaching certain threshold both subjects, respectively) regressed against satisfaction with different aspects teaching-learning process. From these estimates, objective functions defined have been simultaneously maximized, subject to set constraints obtained by analyzing dependencies between explanatory variables. This programming model is intended optimize as function satisfaction. To solve problem use decomposition-based evolutionary algorithm called Global WASF-GA scalarizing allows generating an approximation Pareto optimal front. general, results show importance promoting respect closer interaction teachers, way increase average proportion high students.

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ژورنال

عنوان ژورنال: Rairo-operations Research

سال: 2021

ISSN: ['1290-3868', '0399-0559']

DOI: https://doi.org/10.1051/ro/2020027