Open social student modeling: visualizing student models with parallel introspectiveviews

  • Authors:

  • I-Han Hsiao;Fedor Bakalov;Peter Brusilovsky;Birgitta König-Ries

  • Affiliations:

  • School of Information Sciences, University of Pittsburgh, Pittsburgh, PA;Institute for Computer Science, University of Jena, Jena, Germany;School of Information Sciences, University of Pittsburgh, Pittsburgh, PA;Institute for Computer Science, University of Jena, Jena, Germany

  • Venue:
  • UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
  • Year:
  • 2011

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Abstract

This paper explores a social extension of open student modeling that we call open social student modeling. We present a specific implementation of this approach that uses parallel IntrospectiveViews to visualize models representing student progress with QuizJET parameterized self-assessment questions for Java programming. The interface allows visualizing not only the student's own model, but also displaying parallel views on the models of their peers and the cumulative model of the entire class or group. The system was evaluated in a semester-long classroom study. While the use of the system was non-mandatory, the parallel IntrospectiveViews interface caused an increase in all of the usage parameters in comparison to a regular portal-based access, which allowed the student to achieve a higher success rate in answering the questions. The collected data offer some evidence that a combination of traditional personalized guidance with social guidance was more effective than personalized guidance alone.