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Mining Moodle to understand Student Behaviour
Casey, Kevin; Gibson, Paul
With 32 million users across approximately 3 million courses worldwide, Moodle has proven to be an immensely popular and important tool in education. One feature provided by Moodle is a rich source of information about student access to online material. While important, this information is presented in a raw format with little indication about how it might be used. In this paper, we examine Moodle viewing statistics from an Irish third-level institution. We examine correlations between these statistics and student results on degree and masters courses. We identify the circumstances where the correlation can help predict poor performance (and hence allow early intervention). In the analysis we find some interesting associations between student behaviour on Moodle and their final grade. Some of these associations reinforce beliefs the authors already had about Moodle usage, and some results were surprising.
Keyword(s): Moodle; Data Mining; Student Behaviour; Early Intervention
Publication Date:
Type: Conference item
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Casey, Kevin and Gibson, Paul (2010) Mining Moodle to understand Student Behaviour. In: International Conference on Engaging Pedagogy 2010 (ICEP10), 2 September 2010, National University of Ireland, Maynooth.
File Format(s): other
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First Indexed: 2018-11-08 06:00:57 Last Updated: 2018-11-08 06:00:57