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

  1. Bogarín Vega, Alejandro 2
  2. Romero Morales, Cristóbal 2
  3. Cerezo Menéndez, Rebeca 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  2. 2 Universidad de Córdoba
    info

    Universidad de Córdoba

    Córdoba, España

    ROR https://ror.org/05yc77b46

Journal:
EDMETIC

ISSN: 2254-0059

Year of publication: 2016

Issue Title: Estado de la cuestión IV: Innovación e investigación para la mejora educativa

Volume: 5

Issue: 1

Pages: 73-92

Type: Article

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More publications in: EDMETIC

Abstract

In this paper, we apply techniques data mining to discover common learning routes. We have used data from 84 undergraduate college students who followed an online course using Moodle 2.0. We propose to group students firstly starting from data about Moodle’s usage summary and/or the students’ final marks in the course. Then, we use data from Moodle’s logs about each cluster/group of students separately in order to be able to obtain more specific and accurate process models of students’ behaviour.

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