An approach for LMS assessment Online publication date: Wed, 31-Dec-2014
by Stavros Valsamidis; Ioannis Kazanidis; Sotirios Kontogiannis; Alexandros Karakos
International Journal of Technology Enhanced Learning (IJTEL), Vol. 4, No. 3/4, 2012
Abstract: Learning management systems (LMSs) are software tools designed to manage user learning interventions. On the other hand, in most LMSs there are neither appropriate metrics nor algorithms embedded in them which would facilitate their qualitative and quantitative measurement. The purpose of this paper is to use existing techniques in a different way, in order to analyse the log file of an LMS. Three metrics, enrichment, homogeneity and interest in course usage measurement are used. Data mining techniques, such as classification, clustering and association, are applied to the LMS data with the use of the open source software tool Weka. Two algorithms for course classification and suggestion actions are also described. A case study based on the proposed approach was applied to LMS data from a Greek University. The results confirmed the validity of the approach and showed a strong relationship between the course usage and the corresponding students' grades in the exams.
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