Analysis of students clustering results based on Moodle log data

Bovo, Angela, Sanchez, Stéphane, Heguy, Olivier and Duthen, Yves (2013) Analysis of students clustering results based on Moodle log data. In: 6th International Conference on Educational Data Mining - EDM 2013.

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Abstract

This paper describes a proposal of relevant clustering features and the results of experiments using them in the context of determining students' learning behaviors by mining Moodle log data. Our clustering experiments tried to show whether there is an overall ideal number of clusters and whether the clusters show mostly qualitative or quantitative differences. They were carried out using real data obtained from various courses dispensed by a partner institute using a Moodle platform. We have compared several classic clustering algorithms on several group of students using our defined features and analysed the meaning of the clusters they produced.

Item Type: Conference or Workshop Item (Paper)
Language: English
Date: 2013
Uncontrolled Keywords: Clustering - Moodle - Analysis - Prediction
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 28 Feb 2019 14:10
Last Modified: 20 Mar 2019 15:48
URI: http://publications.ut-capitole.fr/id/eprint/30153

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