Seeing What the System Thinks You Know: Visualizing Evidence in an Open Learner Model

Barbara Kump, Christin Seifert, Guenter Beham, Stefanie Lindstaedt, Tobias Ley

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

27 Citations (Scopus)

Abstract

User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.
Original languageEnglish
Title of host publicationLAK '12
Subtitle of host publicationProceedings of the 2nd International Conference on Learning Analytics and Knowledge
Place of PublicationNew York, NY
PublisherACM Press
Pages153-157
ISBN (Print)978-1-4503-1111-3
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2nd International Conference on Learning Analytics and Knowledge, LAK 2012 - Vancouver, Canada
Duration: 29 Apr 20122 May 2012
Conference number: 2

Conference

Conference2nd International Conference on Learning Analytics and Knowledge, LAK 2012
Abbreviated titleLAK
Country/TerritoryCanada
CityVancouver
Period29/04/122/05/12

Keywords

  • Open learner model
  • Visual learning analytics
  • Knowledge indicating events
  • n/a OA procedure

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