Courseware usage archetyping

Authors:
Theodosios Theodosiou;Ioannis Kazanidis;Stavros Valsamidis;Sotirios Kontogiannis
Affiliations:
Kavala's Institute of Technology, Kavala, Greece;Kavala's Institute of Technology, Kavala, Greece;Kavala's Institute of Technology, Kavala, Greece;Democritus University of Thrace, Kimeria, Xanthi, Greece
Venue:
Proceedings of the 17th Panhellenic Conference on Informatics
Year:
2013

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Abstract

Courseware construction is not an easy task. Developers and authors need support to carry out the construction/development process of courseware and learning contents automatically. On the other hand, the usage of the courses by the students in the past may contribute to the resolution of this problem. In this paper, a methodology based on the archetypal analysis is proposed in order to analyze course usage and log files of online courses. It explores how e-learning contents of each course affect students' usage. The archetypes which are disclosed assist to the discovery of the most representative usage patterns of the e-learning courses. The proposed methodology was successfully applied to LMS usage data from a Greek University. The results confirmed the validity of the approach and showed that for each course there are at least three archetypes of usage by the students.