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Adaptive Representation of Digital Resources Search Results in Personal Learning Environment

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Artificial Intelligence in Education (AIED 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9112))

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Abstract

The massive explosion of digital resources available in the user’s personal environment creates many issues. Users aim to select among a mass of heterogeneous digital resources, the best one to use in the activity. Traditionally, this process is time consuming and requires a lot of effort for the user to optimize selecting parameters. That often makes unexploitable digital resources available in repositories or digital libraries. In this paper, we proposed an approach that allows a user to have new ways of interpreting the resource search results. We proposed a method for adaptive visual representation of these results based on the context of use and the user profile. This approach use an adaptive tf-idf scoring and adaptive visual representation to allow relevant digital resources selection. This study was conducted as part of the design of a personal environment for consolidated digital resource management called PRISE ( PeRsonal Interactive research Smart Environment).

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Author information

Authors and Affiliations

  1. L3i Laboratory, University of La Rochelle, La Rochelle, France

    Daouda Sawadogo, Cyrille Suire, Ronan Champagnat & Pascal Estraillier

Authors
  1. Daouda Sawadogo
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  2. Cyrille Suire
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  3. Ronan Champagnat
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  4. Pascal Estraillier
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Corresponding author

Correspondence to Daouda Sawadogo .

Editor information

Editors and Affiliations

  1. University of British Columbia, Vancouver, British Columbia, Canada

    Cristina Conati

  2. Computer Science Department, Worcester Polytechnic Institute, Worcester, Massachusetts, USA

    Neil Heffernan

  3. Department of Computer Science and Software Engineering, University of Canterbury, Christchurch, New Zealand

    Antonija Mitrovic

  4. E.T.S.I. Informática, Universidad National de Educacion a Distancia, Madrid, Spain

    M. Felisa Verdejo

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© 2015 Springer International Publishing Switzerland

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Sawadogo, D., Suire, C., Champagnat, R., Estraillier, P. (2015). Adaptive Representation of Digital Resources Search Results in Personal Learning Environment. In: Conati, C., Heffernan, N., Mitrovic, A., Verdejo, M. (eds) Artificial Intelligence in Education. AIED 2015. Lecture Notes in Computer Science(), vol 9112. Springer, Cham. https://doi.org/10.1007/978-3-319-19773-9_62

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  • DOI: https://doi.org/10.1007/978-3-319-19773-9_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19772-2

  • Online ISBN: 978-3-319-19773-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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