[language-switcher]

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.

Published by mquesada on

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:

–

Categories: PublicationsPublications
Tags:

Related Posts

Publications

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 [...]

Publications

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, [...]

Publications

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 [...]