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Developing a Computational Model of “Quality” for Educational Digital Libraries

  • Conference paper
Research and Advanced Technology for Digital Libraries (ECDL 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3652))

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Abstract

This poster will present the results of a pilot study that examined the efficacy of a computational model to support users in determining quality in educational digital libraries. The subsequent research design of a larger follow-on project will also be presented. It is anticipated that the conceptual and computational models that will be created for scaffolding quality judgments about library resources can be empirically validated, and ultimately integrated into digital library tools and services.

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Authors and Affiliations

  1. The University of Colorado at Boulder, Boulder, CO, USA

    Tamara Sumner & Myra Custard

  2. DLESE Program Center, University Corp. for Atmospheric Research, Boulder, CO, USA

    Mary Marlino

Authors
  1. Tamara Sumner
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  2. Mary Marlino
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  3. Myra Custard
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Editor information

Editors and Affiliations

  1. Vienna University of Technology, Vienna, Austria

    Andreas Rauber

  2. Laboratory of Distributed Multimedia Information Systems and Applications, Technical University of Crete (MUSIC/TUC) Chania, 73100, Crete, Greece

    Stavros Christodoulakis

  3. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstr. 9-11/188, A-1040, Wien, Austria

    A Min Tjoa

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© 2005 Springer-Verlag Berlin Heidelberg

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Sumner, T., Marlino, M., Custard, M. (2005). Developing a Computational Model of “Quality” for Educational Digital Libraries. In: Rauber, A., Christodoulakis, S., Tjoa, A.M. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2005. Lecture Notes in Computer Science, vol 3652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551362_73

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  • DOI: https://doi.org/10.1007/11551362_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28767-4

  • Online ISBN: 978-3-540-31931-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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