Analysis of Students’ Academic Performance and Well-Being through Interval Multiobjective Optimization.
A. Orozco-Villodres, M. Luque, A. B. Ruiz, S. Gónzalez-Gallardo
Assessing education systems requires going beyond academic results to include students’ well-being, as both are key aspects for balanced development and long-term learning. This study examines how these dimensions can be jointly improved. Using data from the PISA 2022 report for Spain, we consider five indicators: scores in mathematics, reading, and science (for academic performance), and bullying and health indexes (for well-being).
Using econometric methods, we build an interval multiobjective linear programming model to examine the trade-offs across several scenarios. Results show that the profile of the “compromise student”—who best balances performance and well-being—varies notably depending on the scenario. The study also estimates potential improvements in each indicator relative to the current situation of Spanish students, revealing uneven margins for progress. Finally, we propose educational strategies to foster environments supporting both learning and well-being.
Keywords: Multiobjective optimization, Econometric analysis, Educational achievement, Student emotional assessment.
Scheduled
GT Decisión Multicriterio I
September 2, 2026 12:40 PM
Aula 28
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