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

@article{citeulike:2239558, 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.}, address = {Oxford, UK, UK}, author = {Romero, Crist\'{o}bal and Ventura, Sebasti\'{a}n and Garc'{i}a, Enrique}, citeulike-article-id = {2239558}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1371457}, citeulike-linkout-1 = {http://dx.doi.org/10.1016/j.compedu.2007.05.016}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6VCJ-4P7FCT6-1/2/60b47e7bb2ae46aed61cc82a01446798}, doi = {10.1016/j.compedu.2007.05.016}, issn = {0360-1315}, journal = {Comput. Educ.}, keywords = {eddatamining}, number = {1}, pages = {368--384}, posted-at = {2008-05-21 12:38:32}, priority = {2}, publisher = {Elsevier Science Ltd.}, title = {Data mining in course management systems: Moodle case study and tutorial}, url = {http://dx.doi.org/10.1016/j.compedu.2007.05.016}, volume = {51}, year = {2008} }

TY - JOUR ID - citeulike:2239558 L3 - citeulike-article-id:2239558 N2 - 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. IS - 1 JF - Comput. Educ. SN - 0360-1315 AD - Oxford, UK, UK EP - 384 TI - Data mining in course management systems: Moodle case study and tutorial PB - Elsevier Science Ltd. VL - 51 SP - 368 KW - eddatamining AU - Romero, Cristóbal AU - Ventura, Sebastián AU - Garc'{i}a, Enrique PY - 2008/// UR - http://dx.doi.org/10.1016/j.compedu.2007.05.016 ER -