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Assessment of motivation in online learning environments

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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.
Original languageEnglish
Title of host publicationAdaptive Hypermedia and Adaptive Web-Based Systems, 4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006, Proceedings
EditorsV. Wade, H. Ashman, B. Smyth
Place of PublicationBerlin
PublisherSpringer
Pages414-418
Number of pages5
Edition4018
ISBN (Print)9783540346968
Publication statusPublished - 2006
EventAH -
Duration: 1 Jan 2006 → …

Publication series

NameLecture notes in computer science
PublisherSpringer
Number4018

Conference

ConferenceAH
Period1/01/06 → …

Documents

  • AH2006.pdf

    Accepted author manuscript (Post-print), 145 KB, PDF document

Related information

Relations Get citation (various referencing formats)

ID: 223379