Data mining in course management systems: Moodle case study and tutorial
ARTICLE
Cristóbal Romero, Sebastián Ventura, Enrique García
Computers & Education Volume 51, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd
Abstract
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a survey of the specific application of data mining in learning management systems and a case study tutorial with the Moodle system. Our objective is to introduce it both theoretically and practically to all users interested in this new research area, and in particular to online instructors and e-learning administrators. We describe the full process for mining e-learning data step by step as well as how to apply the main data mining techniques used, such as statistics, visualization, classification, clustering and association rule mining of Moodle data. We have used free data mining tools so that any user can immediately begin to apply data mining without having to purchase a commercial tool or program a specific personalized tool.
Citation
Romero, C., Ventura, S. & García, E. (2008). Data mining in course management systems: Moodle case study and tutorial. Computers & Education, 51(1), 368-384. Elsevier Ltd. Retrieved March 28, 2024 from https://www.learntechlib.org/p/66484/.
This record was imported from Computers & Education on January 30, 2019. Computers & Education is a publication of Elsevier.
Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2007.05.016Keywords
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