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Pregled bibliografske jedinice broj: 701512

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Autori: Holenko Dlab, Martina; Hoić-Bozić, Nataša; Mezak, Jasminka
Naslov: Personalizing E-Learning 2.0 Using Recommendations
Izvornik: Methodologies and Intelligent Systems for Technology Enhanced Learning / Di Mascio, Tania ; Gennari, Rosella ; Vitorini, Pierpaolo ; Vicari, Rosa ; de la Prieta, Fernando (ur.). - Heidelberg New York Dordrecht London : Springer , 2014. 27-35 (ISBN: 978-3-319-07697-3).
Skup: 4th Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (mis4TEL)
Mjesto i datum: Salamanca, Španjolska, 4.-6.6.2014.
Ključne riječi: Recommender System; Recommendation Techniques; E Learning; Collaborative Learning; TEL; Web 2.0
Sažetak:
Recommender systems support users in accessing information available on the Web. This process ensures personalization since recommendations are generated according to user's characteristics. In the educational domain, in the most cases, recommendations refer to learning materials. Besides that, there is a potential for using recommendation techniques in order to personalize other aspects of e-learning context. This paper describes a recommendation model for providing personalization of a collaborative learning process. Well-known recommendation techniques are adapted for online learning environment that consists of an LMS and different Web 2.0 tools. The recommendations are used to support students before and during e-tivities and include four different types of items: optional e-tivities, collaborators, Web 2.0 tools and advice.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Informacijske i komunikacijske znanosti
Upisao u CROSBI: Martina Holenko (mholenko@inf.uniri.hr), 17. Lip. 2014. u 09:25 sati



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