Data mining in course management systems: Moodle case study and tutorial

Romero, Cristobal and Ventura, Sebastian and Garcıa, Enrique (2008) Data mining in course management systems: Moodle case study and tutorial. Computers & Education, 51 (1). pp. 368-384. ISSN 0360-1315

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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.

Item Type: Article
Uncontrolled Keywords: Distance education and telelearning, E-learning, Evaluation of CAL systems, Data mining, Web mining
Subjects: Educational technology > Learning analytics
Divisions: Higher education, Universities, Vocational training, Colleges
Depositing User: Dr Michael de Raadt
Date Deposited: 25 Jan 2016 04:58
Last Modified: 25 Jan 2016 04:58
URI: http://research.moodle.net/id/eprint/95

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