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

  • H. Drachsler
  • , T. Bogers
  • , R. Vuokari
  • , K. Verbert
  • , E. Duval
  • , N. Manouselis
  • , G. Beham
  • , S.N. Lindstaedt
  • , H. Stern
  • , M. Friedrich
  • , M. Wolpers

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    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.
    Original languageEnglish
    Title of host publicationProceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010)
    Pages2849-2858
    DOIs
    Publication statusPublished - 2010

    Publication series

    NameProcedia Computer Science
    Volume1(2)
    ISSN (Print)1877-0509

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