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dc.contributor.authorPliakos, Konstantinos
dc.contributor.authorJoo, Seang-Hwane
dc.contributor.authorPark, Jung-Yeon
dc.contributor.authorCornillie, Frederik
dc.contributor.authorVens, Celine
dc.contributor.authorVan den Noortgate, Wim
dc.date.accessioned2021-10-27T16:10:33Z
dc.date.available2021-10-27T16:10:33Z
dc.date.issued2019
dc.identifier.issn0360-1315
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33808
dc.sourceIIOimport
dc.titleIntegrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems
dc.typeJournal article
dc.contributor.imecauthorPliakos, Konstantinos
dc.contributor.imecauthorCornillie, Frederik
dc.contributor.imecauthorVens, Celine
dc.contributor.imecauthorVan den Noortgate, Wim
dc.contributor.orcidimecCornillie, Frederik::0000-0002-4820-7970
dc.contributor.orcidimecVens, Celine::0000-0003-0983-256X
dc.contributor.orcidimecVan den Noortgate, Wim::0000-0003-4011-219X
dc.source.peerreviewyes
dc.source.beginpage91
dc.source.endpage103
dc.source.journalComputers & Education
dc.source.volume137
dc.identifier.urlhttps://doi.org/10.1016/j.compedu.2019.04.009
imec.availabilityPublished - imec


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