Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle

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Published: Jan 1, 2016
DOI: https://doi.org/10.21071/edmetic.v5i1.4017
Keywords:
Base de datos, aprendizaje, estudiante, red de información

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Alejandro Bogarín Vega
Universidad de Córdoba
Cristóbal Romero Morales
Universidad de Córdoba
Rebeca Cerezo Menéndez
Universidad de Oviedo

Abstract

En este artículo, aplicamos técnicas de minería de datos para descubrir rutas de aprendizaje frecuentes. Hemos utilizado datos de 84 estudiantes universitarios, seguidos en un curso online usando Moodle 2.0. Proponemos agrupar a los estudiantes, en primer lugar, a partir de los datos de una síntesis de uso de Moodle y/o las calificaciones finales de los alumnos en un curso. Luego, usamos los datos de los logs de Moodle sobre cada cluster/grupo de estudiantes separadamente con el fin de poder obtener más específicos y  precisos modelos de procesos del comportamiento de los estudiantes.

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How to Cite
Bogarín Vega, A., Romero Morales, C., & Cerezo Menéndez, R. (2016). Aplicando minería de datos para descubrir rutas de aprendizaje frecuentes en Moodle. EDMETIC, 5(1), 73–92. https://doi.org/10.21071/edmetic.v5i1.4017
Issue
Vol. 5 No. 1 (2016): Estado de la cuestión IV: Innovación e investigación para la mejora educativa
Section
Artículos

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