Abstract
Usability evaluation in e-Learning systems represents one of the final tasks while evaluating and increasing student engagement. This chapter tackles the problem of interface optimisation by analysis of students and professors to questionnaires and surveys. The critical aspects revealed are the factors that influence the interaction, such as the number of hours spent weekly or years spent using the platform. We have found that specific factors highly influence the perceived ease of use. Finally, we describe a data analysis pipeline whose goal is to recommend tutors for students with the same goal of increasing engagement. We conclude that the presented usability evaluation roadmap represents a final data analytics step that should be followed whenever building an e-Learning application.
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Mihăescu, M.C., Popescu, P.S., Mocanu, M.L., Ionaşcu, C.M. (2022). Usability Evaluation Roadmap for e-Learning Systems. In: Mihăescu, M.C. (eds) Data Analytics in e-Learning: Approaches and Applications. Intelligent Systems Reference Library, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-030-96644-7_7
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