Towards a recommender strategy for personal learning environments

Mödritscher, Felix (2010) Towards a recommender strategy for personal learning environments. Procedia Computer Science, 1 (2). pp. 2775-2782. ISSN 18770509

Available under License Creative Commons Attribution Non-commercial No Derivatives 3.0 Austria (CC BY-NC-ND 3.0 AT).

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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)

Item Type: Article
Additional Information: Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL 2010), Barcelona, Spain
Keywords: personal learning environments / recommender strategies / collaborative filtering / activity model
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Wirtschaftsinformatik und Neue Medien
Version of the Document: Published
Variance from Published Version: None
Depositing User: Elena Simukovic
Date Deposited: 01 Aug 2016 13:50
Last Modified: 01 Aug 2016 16:23


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