May I Suggest? Comparing Three PLE Recommender Strategies

Mödritscher, Felix and Krumay, Barbara and El Helou, Sandy and Gillet, Denis and Nussbaumer, Alexander and Albert , Dietrich and Dahn, Ingo and Ullrich, Carsten (2011) May I Suggest? Comparing Three PLE Recommender Strategies. Digital Education Review, 20. pp. 1-13. ISSN 2013-9144

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Abstract

Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-based) environments for their learning activities, mashingup content and people and apps for different learning contexts. Widely used in other application areas, recommender systems can be very useful for supporting learners in their PLE-based activities, to help discover relevant content, peers sharing similar learning interests or experts on a specific topic. In this paper we examine the utilization of recommender technology for PLEs. However, being confronted by a variety of educational contexts we present three strategies for providing PLE recommendations to learners. Consequently, we compare these recommender strategies by discussing their strengths and weaknesses in general.

Item Type: Article
Additional Information: The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no 231396 (ROLE project).
Keywords: Personal learning environments; Recommender technology; Federated search; collaborative recommendations; Community-based recommendations; Psychopedagogical recommender; Technology review.
Divisions: Departments > Informationsverarbeitung u Prozessmanag. > Wirtschaftsinformatik und Neue Medien
Version of the Document: Published
Variance from Published Version: None
Depositing User: Mohammad Al Hessan
Date Deposited: 05 Mar 2018 14:48
Last Modified: 05 Mar 2018 16:03
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/57383/
URI: https://epub.wu.ac.at/id/eprint/6078

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