Usability analysis of an E-learning system based on Markovian models and in Taxonomy

Abstract

The effectiveness of E-learning resides mainly in the interactivity between student / interface / teacher. Understand how the user behaves when it is connected to the system, creates opportunities for improvements in several areas, including usability. This paper proposes a usability methodology for web systems based on Markovian models and taxonomy. The use of two methods allows a more complete assessment of usability, since the Markovian allow a quantitative assessment that is complemented with the qualitative assessment provided by inspection of taxonomy. A case study of an E-learning application in use for over 5 years and with more than 60 thousand students is presented to validate the proposal.