Morganna Carmem Diniz

Análise de Usabilidade de um Sistema de EaD Baseada em Modelos Markovianos e em Taxonomia

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.

Evaluation of usability utilizing Markov models

Purpose – The purpose of this paper is to analyze the usability of a remote learning system in its initial development phase, using a quantitative usability evaluation method through Markov models.Design/methodology/approach – The paper opted for an exploratory study. The data of interest of the research correspond to the possible accesses of users in a learning systems pre‐project. The present research is intended to answer questions of the type “how”, evaluating the usability through Markov models and the interaction of the learning systems users.Findings – The paper provides a study which allowed the generation of a probability matrix among states and actions, which was utilized in the evaluation of usability based on Markov models, where the usability criteria specified were analyzed. Markov models allow a series of measures of interest to be calculated and they have been successfully utilized in the evaluation of computing and communication systems.Originality/value – This research aimed to investi...