Assessment of motivation in online learning environments

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Abstract

This research outline refers to the assessment of motivation in online learning environments. It includes a presentation of previous approaches, most of them based on Keller's ARCS model, and argues for an approach based on Social Cognitive Learning Theory, in particular building on self-efficacy and self-regulation concepts. The research plan includes two steps: first, detect the learners in danger of dropping-out based on their interaction with the system; second, create a model of the learner's motivation (including self-efficacy, self-regulation, goal orientation, attribution and perceived task characteristics) upon which intervention can be done. © Springer-Verlag Berlin Heidelberg 2006.

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Cocea, M. (2006). Assessment of motivation in online learning environments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4018 LNCS, pp. 414–418). Springer Verlag. https://doi.org/10.1007/11768012_61

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