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ERIC Number: EJ959269
Record Type: Journal
Publication Date: 2011-Dec
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2013-9144
May I Suggest? Comparing Three PLE Recommender Strategies
Modritscher, Felix; Krumay, Barbara; El Helou, Sandy; Gillet, Denis; Nussbaumer, Alexander; Albert, Dietrich; Dahn, Ingo; Ullrich, Carsten
Digital Education Review, n20 p1-13 Dec 2011
Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-based) environments for their learning activities, mashing-up 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. (Contains 1 table and 4 figures.)
Universitat de Barcelona. Passeig de la Vall d'Hebron 171, Edifici Llevant P3, Barcelona, 08035 Spain. e-mail: der@greav.net; Web site: http://greav.ub.edu/der
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A