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 must simultaneously maximized.
A set of constraints is obtained by analyzing dependencies between
explanatory variables. This multiobjective programming model
is intended to measure the students’ academic performance as a function
of the students’ satisfaction. To solve the this problem, we use the
reference point methodology together with the compromise programming,
which allows generating several Pareto optimal solutions representative
from 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 above a certain threshold.
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