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Preferred Features of Open Learner Models for University Students

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Intelligent Tutoring Systems (ITS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7315))

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Abstract

This paper describes features and purposes for opening the learner model to the learner. Building on previous studies of use of a range of open learner models, it considers the features that are preferred by university level, experienced open learner model users. Recommendations are presented to help guide open learner model designers in their choices of features to make available to learners, with reference to user control, privacy, navigation, visualisation content and detail, comparisons and releasing models to peers.

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References

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Author information

Authors and Affiliations

  1. Electronic, Electrical and Computer Engineering, University of Birmingham, UK

    Susan Bull

Authors
  1. Susan Bull
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Editor information

Editors and Affiliations

  1. University of Montpellier & CNRS LIRMM, 161 rue Ada, 34095, Montpellier, France

    Stefano A. Cerri

  2. NASA and Florida Institute for Human and Machine Cognition, Human Centered Computing - Intelligent Systems Division, 94035, Moffett Field, CA, USA

    William J. Clancey

  3. Department of Applied Informatics and Multimedia, Technological Educational Institute of Crete, School of Applied Technology, Stavromenos, P.O.Box 1939, 71004, Heraklion, Crete, Greece

    Giorgos Papadourakis

  4. Neoanalysis Ltd., Marni 56, 10437, Athens, Greece

    Kitty Panourgia

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© 2012 Springer-Verlag Berlin Heidelberg

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Bull, S. (2012). Preferred Features of Open Learner Models for University Students. In: Cerri, S.A., Clancey, W.J., Papadourakis, G., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2012. Lecture Notes in Computer Science, vol 7315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30950-2_53

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  • DOI: https://doi.org/10.1007/978-3-642-30950-2_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30949-6

  • Online ISBN: 978-3-642-30950-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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