Personalizing E-Learning 2.0 Using Recommendations (CROSBI ID 611945)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Holenko Dlab, Martina ; Hoić-Bozić, Nataša ; Mezak, Jasminka
engleski
Personalizing E-Learning 2.0 Using Recommendations
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.
Recommender System ; Recommendation Techniques ; E Learning ; Collaborative Learning ; TEL ; Web 2.0
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Podaci o prilogu
27-35.
2014.
objavljeno
Podaci o matičnoj publikaciji
Methodologies and Intelligent Systems for Technology Enhanced Learning
Di Mascio, Tania ; Gennari, Rosella ; Vitorini, Pierpaolo ; Vicari, Rosa ; de la Prieta, Fernando
Heidelberg : New York (NY) : Dordrecht : London: Springer
978-3-319-07697-3
Podaci o skupu
4th Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (mis4TEL)
predavanje
04.06.2014-06.06.2014
Salamanca, Španjolska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo