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Open social student modeling: Visualizing student models with parallel introspectiveviews

Hsiao, IH and Bakalov, F and Brusilovsky, P and König-Ries, B (2011) Open social student modeling: Visualizing student models with parallel introspectiveviews. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6787 L. 171 - ?. ISSN 0302-9743

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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. © 2011 Springer-Verlag.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Hsiao, IH
Bakalov, F
Brusilovsky, Ppeterb@pitt.eduPETERB0000-0002-1902-1464
König-Ries, B
Date: 19 July 2011
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 6787 L
Page Range: 171 - ?
Event Type: Conference
DOI or Unique Handle: 10.1007/978-3-642-22362-4_15
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9783642223617
ISSN: 0302-9743
Date Deposited: 30 Apr 2012 19:59
Last Modified: 16 Sep 2019 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/12031

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