ERIC Number: EJ959269
Record Type: Journal
Publication Date: 2011-Dec
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2013-9144
EISSN: N/A
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.)
Descriptors: Expertise, Instructional Design, Information Technology, Evaluation, Comparative Analysis, Learner Controlled Instruction, Learning Activities, Information Retrieval, Search Strategies, Online Searching, Search Engines, Information Seeking, Educational Environment, Web Based Instruction
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
Grant or Contract Numbers: N/A