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noviembre 21, 2025

Polotskaya, K., Rabasa, A., & Canals, E. (2023, October). A functional and multidimensional DSS prototype for students monitoring. In International conference on technological ecosystems for enhancing multiculturality (pp. 933-942). Singapore: Springer Nature Singapore.

Polotskaya, K. (Center of Operations Research, Miguel Hernández University of Elche), Rabasa, A. (Center of Operations Research, Miguel Hernández University of Elche), & Canals , E. (Center of Operations Research, Miguel Hernández University of Elche)
Abstract:

In this paper, the authors address a study of the DSS (Decision Support Systems) focused on the educational field, showing that […]

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Matus, N., Rusu, V., Rusu, C., & Botella, F. (2024, June). Evaluating the Student eXperience: A Scale that Includes Cultural Dimensions. In International Conference on Human-Computer Interaction (pp. 129-142). Cham: Springer Nature Switzerland.

Matus, N., Rusu, V., Rusu, C., & Botella, F. (Center of Operations Research, Miguel Hernández University of Elche)
Abstract:

Student eXperience (SX) is a particular case of Customer Experience (CX). SX refers to all perceptions and reactions, both physical and emotional, that a student or future student experiences in response to interaction with the various products, […]

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Guerrero, N. M., Aparicio, J., Moragues, R., & Valero-Carreras, D. (2024). Merging Data Envelopment Analysis and Structural Risk Minimization: Some Examples of Use of Multi-output Machine Learning Techniques on Real-World Data. In Analytical Decision Making and Data Envelopment Analysis: Advances and Challenges (pp. 1-32). Singapore: Springer Nature Singapore.

Guerrero, N. M. (Center of Operations Research, Miguel Hernández University of Elche), Aparicio, J. (Center of Operations Research, Miguel Hernández University of Elche), Moragues, R. (Center of Operations Research, Miguel Hernández University of Elche), & Valero-Carreras, D.(Center of Operations Research, Miguel Hernández University of Elche)
Abstract:

Data Envelopment Analysis (DEA) is nowadays a very famous nonparametric […]

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García-Prieto, I., Herranz-Cuadrado, M. V., Ivorra-Vilaplana, L. M., & Prieto-Castelló, M. J. (2024). ANALYSIS OF CORRELATION BETWEEN DIFFERENT VARIABLES AND FINAL GRADE IN MATHEMATICS SUBJECT AT THE UNIVERSITY. In EDULEARN24 Proceedings (pp. 5038-5042). IATED.

García-Prieto, I., Herranz-Cuadrado, M. V. (Center of Operations Research, Miguel Hernández University of Elche) , Ivorra-Vilaplana, L. M., & Prieto-Castelló, M. J.
Abstract:
Understanding the relationship between different variables and their impact on students’ final grades is essential for optimizing teaching strategies and enhancing university student performance. The objective of this study is to determine the correlation […]

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Catalán, E. B., Navarro, M. D. C. L., Nicolás, B. I., Quesada-Martínez, M., & López, M. H. (2024). Evolución del plan formativo en el marco de un programa para la realización de trabajos de fin de grado interdisciplinares. In Calidad e innovación pedagógica: Experiencias docentes y tecnológicas aplicadas al aula (pp. 2305-2315). Dykinson.

Catalán, E. B., Navarro, M. D. C. L., Nicolás, B. I., Quesada-Martínez, M. (Center of Operations Research, Miguel Hernández University of Elche), & López, M. H.
Abstract:
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Aparicio, J., Esteve, M., & Jin, Q. (2024). Machine Learning Techniques and Efficiency Evaluation: A Survey of Methodological Contributions. Analytical Decision Making and Data Envelopment Analysis: Advances and Challenges, 201-234.

Aparicio, J. (Center of Operations Research, Miguel Hernández University of Elche) , Esteve, M. (Center of Operations Research, Miguel Hernández University of Elche) , & Jin, Q.
Abstract:

This chapter surveys the literature on two types of related contributions. The first group is made up of models devoted to adapting well-known machine learning techniques for estimating […]

By mquesada, ago