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Modeling Learners as Individuals and as Groups

  • Conference paper
Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3137))

Abstract

Adaptive navigation support normally attempts to make selecting a relevant hyperlink as easy as possible. However, in educational applications, this may have negative learning effects since selecting a link is sometimes an important educational problem for the student to solve. To provide appropriate scaffolding to students, it is necessary to understand how they navigate in hypermedia sites. By grouping students with similar conceptual (mis)understanding we were able to uncover a small set of characteristic navigation patterns, and to demonstrate that students with similar conceptual understanding have similar navigation patterns.

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References

  1. Hübscher, R., Puntambekar, S.: Adaptive navigation for learners in hypermedia is scaffolded navigation. In: De Bra, P., Brusilovsky, P. (eds.) Second International Conference on Adaptive Hypermedia and Adaptive Web-based Systems, Springer, Berlin (2002)

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Author information

Authors and Affiliations

  1. Department of Information Design and Corporate Communication, Bentley College, 175 Forest Street, Waltham, MA, 02452-4705, USA

    Roland Hübscher

  2. Department of Educational Psychology, University of Wisconsin, 1025 W Johnson St., Rm 880, Madison, WI, 53706, USA

    Sadhana Puntambekar

Authors
  1. Roland Hübscher
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  2. Sadhana Puntambekar
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven, The Netherlands

    Paul M. E. De Bra

  2. L3S Research Center, Leibniz Universität Hannover, Appelstrasse 9a, 30167, Hannover, Germany

    Wolfgang Nejdl

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© 2004 Springer-Verlag Berlin Heidelberg

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Hübscher, R., Puntambekar, S. (2004). Modeling Learners as Individuals and as Groups. In: De Bra, P.M.E., Nejdl, W. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2004. Lecture Notes in Computer Science, vol 3137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27780-4_37

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  • DOI: https://doi.org/10.1007/978-3-540-27780-4_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22895-0

  • Online ISBN: 978-3-540-27780-4

  • eBook Packages: Springer Book Archive

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