Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/8911
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dc.contributor.authorSimjanoska, Monikaen_US
dc.contributor.authorGushev, Marjanen_US
dc.contributor.authorRistov, Sashkoen_US
dc.contributor.authorMadevska Bogdanova, Anaen_US
dc.date.accessioned2020-09-06T08:36:48Z-
dc.date.available2020-09-06T08:36:48Z-
dc.date.issued2014-04-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/8911-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleIntelligent student profiling for predicting e-Assessment outcomesen_US
dc.typeArticleen_US
dc.relation.conference2014 IEEE Global Engineering Education Conference (EDUCON)en_US
dc.identifier.doi10.1109/educon.2014.6826157-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/6820095/6826048/06826157.pdf?arnumber=6826157-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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