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Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning

  • Hendrik Drachsler(corresponding author)
    ,
  • Toine Bogers
    ,
  • Riina Vuorikari
    ,
  • Katrien Verbert
    ,
  • Erik Duval
    ,
  • Nikos Manouselis
*Corresponding author for this work
  • Open University of the Netherlands
    ,
  • Aalborg University
    ,
  • European Schoolnet
    ,
  • KU Leuven
    ,
  • Greek Research and Technology Network
    ,
  • Know-Center GmbH
Research Output:
Journal Article or Conference Article in Journal
Journal article
 Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
 Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 2849-2858 (10 pages)

Journal (Volume, Issue Number)

Procedia Computer Science (Volume 1, Issue 2)

Publication milestones

  • Published - 01/01/2010

Publication status

Published - 01/01/2010

ISSN

1877-0509

Publication IDs

  • Scopus: 78650247499

Abstract

This paper raises the issue of missing data sets for recommender systems in Technology Enhanced Learning that can be used as benchmarks to compare different recommendation approaches. It discusses how suitable data sets could be created according to some initial suggestions, and investigates a number of steps that may be followed in order to develop reference data sets that will be adopted and reused within a scientific community. In addition, policies are discussed that are needed to enhance sharing of data sets by taking into account legal protection rights. Finally, an initial elaboration of a representation and exchange format for sharable TEL data sets is carried out. The paper concludes with future research needs.

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Citations
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Captures
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Funding Details

a Open University of the Netherlands (OUNL), P.O. Box 2960, 6401 DL Heerlen, The Netherlands b Royal School of Library & Information Science (RSLIS), Birketinget 6, 2300 Copenhagen S, Denmark c European Schoolnet (EUN), 24, Rue Paul Emile Janson, 1050 Brussels, Belgium d Katholieke Universiteit Leuven (K.U.Leuven), Celestijnenlaan 200A, 3001 Leuven, Belgium e Greek Research and Technology Network (GRNET), 56 Messogeion Av., 115 27, Athens, Greece f Know-Center GmbH, Inffeldgasse 21a, A-8010 Graz, Austria g Knowledge Management Institute, Graz University of Technology, Austria h Fraunhofer Institute for Applied Information Technology (FIT), Schloss Birlinghoven, 53754 Sankt Augustin, Germany This work is kindly supported by the dataTEL Theme Team and the STELLAR Network of Excellence. Toine Bogers was supported by the Radio Culture and Auditory Resources Infrastructure Project (LARM) as funded by the Danish National Research Infrastructures Program (project no. 09-067292). Katrien Verbert is a Postdoctoral Fellow of the Research Foundation - Flanders (FWO). The work on Nikos Manouselis has been funded with support by the EU project ECP-2006-EDU-410012 ‘Organic.Edunet’ of the eContentplus Programme.

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