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Eliciting Affective Recommendations to Support Distance Learning Students

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Book cover User Modeling, Adaptation, and Personalization (UMAP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7899))

Abstract

Affective support can be provided through personalized recommendations integrated within learning management systems (LMS). We have applied the TORMES user centered engineering approach to involve educators in a recommendation elicitation process in a distance learning (DL) context.

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References

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Author information

Authors and Affiliations

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

    Ángeles Manjarrés-Riesco, Olga C. Santos & Jesus G. Boticario

Authors
  1. Ángeles Manjarrés-Riesco
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  2. Olga C. Santos
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  3. Jesus G. Boticario
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Delaware, 19716, Delaware, DE, USA

    Sandra Carberry

  2. School of Computing, National College of Ireland, Mayor Street, IFSC, Dublin 1, Ireland

    Stephan Weibelzahl

  3. Dipartimento di Ingegneria, Roma Tre University, Via della Vasca Navale, 79, 00146, Rome, Italy

    Alessandro Micarelli

  4. Department of Computer Science, University of Bari Aldo Moro, 70126, Bari, Italy

    Giovanni Semeraro

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© 2013 Springer-Verlag Berlin Heidelberg

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Manjarrés-Riesco, Á., Santos, O.C., Boticario, J.G. (2013). Eliciting Affective Recommendations to Support Distance Learning Students. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds) User Modeling, Adaptation, and Personalization. UMAP 2013. Lecture Notes in Computer Science, vol 7899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38844-6_35

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  • DOI: https://doi.org/10.1007/978-3-642-38844-6_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38843-9

  • Online ISBN: 978-3-642-38844-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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