In this article, we carry out a combined econometric and multiobjective analysis using data from a representative sample of Andalusian schools. In particular, four econometric models are estimated in which the students’ academic performance (scores in math and reading, and percentage of students reaching a certain threshold in both subjects, respectively) are regressed against the satisfaction of students with different aspects of the teaching-learning process. From these estimates, four objective functions are defined which have been simultaneously maximized, subject to a set of constraints obtained by analyzing dependencies between explanatory variables. This multiobjective programming model is intended to optimize the students’ academic performance as a function of the students’ satisfaction. To solve this problem we use a decomposition-based evolutionary multiobjective algorithm called Global WASF-GA with different scalarizing functions which allows generating an approximation of the Pareto optimal front. In general, the results show the importance of promoting respect and closer interaction between students and teachers, as a way to increase the average performance of the students and the proportion of high performance students.
Keywords: Evolutionary multiobjective optimization students’ performance, students’ satisfaction, achievement scalarizing function, econometric analysis
@article{RO_2021__55_S1_S1051_0,
author = {Marcenaro-Guti\'errez, Oscar D. and Gonz\'alez-Gallardo, Sandra and Luque, Mariano},
title = {Evaluating the potential trade-off between students{\textquoteright} satisfaction and school performance using evolutionary multiobjective optimization},
journal = {RAIRO. Operations Research},
pages = {S1051--S1067},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
doi = {10.1051/ro/2020027},
zbl = {1472.90123},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2020027/}
}
TY - JOUR AU - Marcenaro-Gutiérrez, Oscar D. AU - González-Gallardo, Sandra AU - Luque, Mariano TI - Evaluating the potential trade-off between students’ satisfaction and school performance using evolutionary multiobjective optimization JO - RAIRO. Operations Research PY - 2021 SP - S1051 EP - S1067 VL - 55 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2020027/ DO - 10.1051/ro/2020027 LA - en ID - RO_2021__55_S1_S1051_0 ER -
%0 Journal Article %A Marcenaro-Gutiérrez, Oscar D. %A González-Gallardo, Sandra %A Luque, Mariano %T Evaluating the potential trade-off between students’ satisfaction and school performance using evolutionary multiobjective optimization %J RAIRO. Operations Research %D 2021 %P S1051-S1067 %V 55 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2020027/ %R 10.1051/ro/2020027 %G en %F RO_2021__55_S1_S1051_0
Marcenaro-Gutiérrez, Oscar D.; González-Gallardo, Sandra; Luque, Mariano. Evaluating the potential trade-off between students’ satisfaction and school performance using evolutionary multiobjective optimization. RAIRO. Operations Research, Tome 55 (2021), pp. S1051-S1067. doi: 10.1051/ro/2020027
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