Authors: Angel A. Juan, Thanasis Daradoumis, Javier Faulin, Fatos Xhafa
Addresses: Department of Computer Sciences and Telecommunication, Open University of Catalonia, Rambla del Poblenou, 156, 08018 Barcelona, Spain. ' Department of Computer Sciences and Telecommunication, Open University of Catalonia, Rambla del Poblenou, 156, 08018 Barcelona, Spain. ' Department of Statistics and Operations Research, Public University of Navarre, Campus Arrosadia, 31006 Pamplona, Navarra, Spain. ' Department of Languages and Informatics Systems, Technical University of Catalonia, Jordi Girona 1-3, 08034 Barcelona, Spain
Abstract: This paper discusses the convenience of using data analysis techniques to monitor e-learning processes. It also proposes a model to monitor online students| academic activity and performance. Using data from log files and databases, this model determines which information has to be provided to online instructors and students. These reports allow instructors to: classify students according to their activity and learning outcomes, track their evolution, and identify those who might need immediate assistance. They also provide students with a periodical feedback which makes them aware of how they are performing as compared with the rest of the class.
Keywords: data analysis; web-based education; LMS; learning management systems; students; learning outcomes; student feedback; monitoring tools; e-learning; electronic learning; online learning; information systems; control charts.
International Journal of Business Intelligence and Data Mining, 2009 Vol.4 No.2, pp.159 - 174
Published online: 08 Jul 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article