Related Experiment Video
Updated: Sep 30, 2025

Social Isolation Model: A Noninvasive Rodent Model of Stress and Anxiety
Published on: November 11, 2022
Self-Esteem at University: Proposal of an Artificial Neural Network Based on Resilience, Stress, and Sociodemographic
Juan Pedro Martínez-Ramón1, Francisco Manuel Morales-Rodríguez2, Cecilia Ruiz-Esteban1
1Department of Evolutionary and Educational Psychology, Faculty of Psychology, Campus Regional Excellence Mare Nostrum, University of Murcia, Murcia, Spain.
Abstract:
Artificial intelligence (AI) is a useful predictive tool for a wide variety of fields of knowledge. Despite this, the educational field is still an environment that lacks a variety of studies that use this type of predictive tools. In parallel, it is postulated that the levels of self-esteem in the university environment may be related to the strategies implemented to solve problems. For these reasons, the aim of this study was to analyze the levels of self-esteem presented by teaching staff and students at university (N = 290, 73.1% female) and to design an algorithm capable of predicting these levels on the basis of their coping strategies, resilience, and sociodemographic variables. For this purpose, the Rosenberg Self-Esteem Scale (RSES), the Perceived Stress Scale (PSS), and the Brief Resilience Scale were administered. The results showed a relevant role of resilience and stress perceived in predicting participants' self-esteem levels. The findings highlight the usefulness of artificial neural networks for predicting psychological variables in education.
More Related Videos
Related Concept Videos
Sources of Self-Esteem III: Social Comparison
Sources of Self-Esteem II: Performance Feedback
Self-Evaluation: Self-Enhancement and Self-Verification
Self-Esteem
Trait and State Self-Esteem
Protecting Self-Esteem

