Towards a recommender strategy for personal learning environments

Felix Mödritscher

Publication: Scientific journalJournal articlepeer-review


Personal learning environments (PLEs) aim at putting the learner central stage and comprise a technological approach towards learning tools, services, and artifacts gathered from various usage contexts and to be used by learners. Due to the varying technical skills and competences of PLE users, recommendations appear to be useful for empowering learners to set up their environments so that they can connect to learner networks and collaborate on shared artifacts by using the tools available. In this paper we examine different recommender strategies on their applicability in PLE settings. After reviewing different techniques given by literature and experimenting with our prototypic PLE solution we come to the conclusion to start with an item-based strategy and extend it with model-based and iterative techniques for generating recommendations for PLEs. (author's abstract)
Original languageEnglish
Pages (from-to)2775-2782
JournalProcedia Computer Science
Issue number2
Publication statusPublished - 7 Sep 2010
  • Towards a Recommender Strategy for Personal Learning Environments

    Mödritscher, F., 1 Oct 2010, Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010). Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos (ed.). Barcelona: Elsevier, p. 2775 - 2782

    Publication: Chapter in book/Conference proceedingContribution to conference proceedings

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