EURO 2025 Leeds
Abstract Submission

2755. A Holistic Multiobjective Optimization Approach to Study Student Well-Being in Spain

Invited abstract in session MB-51: Multiobjective optimization applications, stream Multiobjective and vector optimization.

Monday, 10:30-12:00
Room: Parkinson B22

Authors (first author is the speaker)

1. Andrea Orozco Villodres
Departamento de Economía Aplicada (Matemáticas), University of Malaga
2. Mariano Luque
Applied Economics (Mathematics), Universidad de Malaga
3. Ana Belen Ruiz
Applied Economics (Mathematics), University of Malaga

Abstract

The academic performance of adolescents is a multifaceted issue influenced by various factors, including student well-being. Research highlights the strong link between well-being—encompassing social, physical, and mental dimensions—and academic achievement. Policies that promote well-being can enhance educational outcomes and reduce socioeconomic disparities. However, globalization, technological advancements, and the COVID-19 pandemic have introduced new complexities, reinforcing the need for data-driven policies.
This study examines student well-being as a multidimensional concept using a multiple criteria decision-making approach. It differentiates between social, physical, and mental well-being, aiming to enhance these aspects among Spanish students. Using PISA 2022 data, three well-being indexes are constructed. Through econometric analysis, a multiobjective optimization model is developed to maximize these indexes simultaneously. This approach evaluates pathways for improving well-being and identifies the socio-educational conditions that support such improvements. Moreover, the model incorporates correlations among students' socio-educational characteristics to provide a comprehensive and realistic analysis. The findings reveal that students seeking to enhance their well-being holistically must balance different dimensions, emphasizing the importance of an integrated approach.

Keywords

Status: accepted

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