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Analysis of the optimization of resources with Learning Analytics techniques

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Analysis of the optimization of resources with Learning Analytics techniques

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Torner, M.; Aparicio-Fernández, C.; Vivancos, J.; Cañada-Soriano, M. (2023). Analysis of the optimization of resources with Learning Analytics techniques. Multidisciplinary Journal for Education, Social and Technological Sciences. 10(2):46-58. https://doi.org/10.4995/muse.2023.18545

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/199601

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Título: Analysis of the optimization of resources with Learning Analytics techniques
Autor: Torner, M-E. Aparicio-Fernández, C. Vivancos, J-L. Cañada-Soriano, M.
Entidad UPV: Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria
Universitat Politècnica de València. Centro de Investigación en Dirección de Proyectos, Innovación y Sostenibilidad - Centre d'Investigació en Direcció de Projectes, Innovació i Sostenibilitat
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escuela Técnica Superior de Gestión en la Edificación - Escola Tècnica Superior de Gestió en l'Edificació
Universitat Politècnica de València. Departamento de Mecánica de los Medios Continuos y Teoría de Estructuras - Departament de Mecànica dels Medis Continus i Teoria d'Estructures
Universitat Politècnica de València. Departamento de Construcciones Arquitectónicas - Departament de Construccions Arquitectòniques
Universitat Politècnica de València. Departamento de Termodinámica Aplicada - Departament de Termodinàmica Aplicada
Fecha difusión:
Resumen:
[EN] This paper presents an empirical study based on the learning environment through different data analysis tools. The study is applied to the subject of Theory of Machines and Materials Resistance of the Chemical ...[+]
Palabras clave: Learning environment , Learning analytics , E-learning , Big data
Derechos de uso: Reconocimiento - No comercial - Compartir igual (by-nc-sa)
Fuente:
Multidisciplinary Journal for Education, Social and Technological Sciences. (eissn: 2341-2593 )
DOI: 10.4995/muse.2023.18545
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/muse.2023.18545
Tipo: Artículo

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