Publication:

Text Mining to Alleviate the Cold-Start Problem of Adaptive Comparative Judgments

Date

2022
Journal article
https://doi.org/10.3389/feduc.2022.854378
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dc.contributor.authorDe Vrindt, Michiel
dc.contributor.authorVan den Noortgate, Wim
dc.contributor.authorDebeer, Dries
dc.contributor.imecauthorVan den Noortgate, Wim
dc.contributor.imecauthorDebeer, Dries
dc.contributor.orcidimecVan den Noortgate, Wim::0000-0003-4011-219X
dc.contributor.orcidimecDebeer, Dries::0000-0002-5875-357X
dc.date.accessioned2022-08-26T07:38:21Z
dc.date.available2022-07-29T02:29:06Z
dc.date.available2022-08-26T07:38:21Z
dc.date.issued2022
dc.identifier.doi10.3389/feduc.2022.854378
dc.identifier.issn2504-284X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40181
dc.publisherFRONTIERS MEDIA SA
dc.source.beginpage854378
dc.source.issuena
dc.source.journalFRONTIERS IN EDUCATION
dc.source.numberofpages16
dc.source.volume7
dc.subject.keywordsINFORMATION
dc.subject.keywordsRELIABILITY
dc.title

Text Mining to Alleviate the Cold-Start Problem of Adaptive Comparative Judgments

dc.typeJournal article
dspace.entity.typePublication
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