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Determining students' level of page viewing in intelligent tutorial systems with artificial neural network

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dc.contributor.authorKaraci, A
dc.contributor.authorArici, N
dc.date.accessioned2023-04-15T22:19:37Z
dc.date.available2023-04-15T22:19:37Z
dc.date.issued2014.01.01
dc.identifier.doi10.1007/s00521-012-1284-8
dc.identifier.eissn1433-3058
dc.identifier.endpage684
dc.identifier.issn0941-0643
dc.identifier.issue3-4
dc.identifier.startpage675
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000331638400018&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/9170
dc.identifier.volume24
dc.identifier.wosWOS:000331638400018
dc.relation.ispartofNEURAL COMPUTING & APPLICATIONS
dc.titleDetermining students' level of page viewing in intelligent tutorial systems with artificial neural network
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWos2ee7e0d5-771f-408a-a486-02668cd86581
relation.isPublicationOfWos.latestForDiscovery2ee7e0d5-771f-408a-a486-02668cd86581

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