Show simple item record

dc.contributor.authorKlašnja-Milićević, Aleksandra
dc.contributor.authorVesin, Boban
dc.contributor.authorIvanović, Mirjana
dc.date.accessioned2018-01-18T13:13:31Z
dc.date.available2018-01-18T13:13:31Z
dc.date.created2017-12-24T23:30:26Z
dc.date.issued2018
dc.identifier.citationComputers and education. 2018, 118 166-181.nb_NO
dc.identifier.issn0360-1315
dc.identifier.urihttp://hdl.handle.net/11250/2478164
dc.description.abstractSuccess of e-learning systems depends on their capability to automatically retrieve and recommend relevant learning content according to the preferences of a specific learner. Learning experience and dynamic choice of educational material that is presented to learners can be enhanced using different recommendation techniques. As popularity of collaborative tagging systems grows, users’ tags could provide useful information to improve recommender system algorithms in e-learning environments. In this paper, we present an approach for implementation of collaborative tagging techniques into online tutoring system. The implemented approach combines social tagging and sequential patterns mining for generating recommendations of learning resources to learners. Several experiments were carried out in order to verify usability of the proposed hybrid method within e-learning environment and analyze selected social tagging techniques.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0360131517302592
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleSocial tagging strategy for enhancing e-learning experiencenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber166-181nb_NO
dc.source.volume118nb_NO
dc.source.journalComputers and educationnb_NO
dc.identifier.doi10.1016/j.compedu.2017.12.002
dc.identifier.cristin1531877
dc.description.localcode© 2017. This is the authors’ accepted and refereed manuscript to the article. Locked until 8.12.2020 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal