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

Hendrik Drachsler, Toine Bogers, Riina Vuorikari, Katrien Verbert, Erik Duval, Nikos Manouselis, Guenter Beham, Stephanie Lindstaedt, Hermann Stern, Martin Friedrich, Martin Wolpers

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

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
JournalProcedia Computer Science
Volume1
Issue number2
Pages (from-to)2849-2858
Number of pages10
ISSN1877-0509
DOIs
Publication statusPublished - 1 Jan 2010
Externally publishedYes

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