Literaturnachweis - Detailanzeige
| Autor/inn/en | Modritscher, Felix; Krumay, Barbara; El Helou, Sandy; Gillet, Denis; Nussbaumer, Alexander; Albert, Dietrich; Dahn, Ingo; Ullrich, Carsten |
|---|---|
| Titel | May I Suggest? Comparing Three PLE Recommender Strategies |
| Quelle | In: Digital Education Review, (2011) 20, S.1-13 (13 Seiten)Infoseite zur Zeitschrift
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| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 2013-9144 |
| Schlagwörter | 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 |
| Abstract | 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.) (As Provided). |
| Anmerkungen | 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 |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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