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Symposium of the Austrian HCI and Usability Engineering Group

USAB 2008: HCI and Usability for Education and Work pp 185–204Cite as

Users’ Experience with a Recommender System in an Open Source Standard-Based Learning Management System

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5298))

Abstract

The paper describes a model for recommendations in learning scenarios which has been designed from empirical findings following usability and accessibility criteria. This model supports course designers in describing recommendations and presents additional information to the user to explain why the recommendation has been provided. A prototype of a recommender system based on this model has been integrated in an open source standard-based learning management system. The main goal of the recommender is to improve the learning efficiency. Examples of recommendations defined with this model are provided. Moreover, a users’ experience is reported.

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Author information

Authors and Affiliations

  1. Artificial Intelligence Dept. Computer Science School, aDeNu Research Group, UNED C/Juan del Rosal, 16, Madrid, 28040, Spain

    Olga C. Santos & Jesus G. Boticario

Authors
  1. Olga C. Santos
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  2. Jesus G. Boticario
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Editor information

Editors and Affiliations

  1. Institute for Medical Informatics, Statistics and Documentation (IMI) Research Unit HCI4MED, Medical University Graz (MUG), Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger

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© 2008 Springer-Verlag Berlin Heidelberg

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Santos, O.C., Boticario, J.G. (2008). Users’ Experience with a Recommender System in an Open Source Standard-Based Learning Management System. In: Holzinger, A. (eds) HCI and Usability for Education and Work. USAB 2008. Lecture Notes in Computer Science, vol 5298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89350-9_14

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  • DOI: https://doi.org/10.1007/978-3-540-89350-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89349-3

  • Online ISBN: 978-3-540-89350-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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