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dc.contributor.authorKabudi, Tumaini
dc.contributor.authorPappas, Ilias
dc.contributor.authorOlsen, Dag Håkon
dc.date.accessioned2023-01-15T14:06:40Z
dc.date.available2023-01-15T14:06:40Z
dc.date.created2022-09-11T12:13:11Z
dc.date.issued2022
dc.identifier.citationLecture Notes in Computer Science (LNCS). 2022, 13454 82-94.en_US
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/3043497
dc.language.isoengen_US
dc.titleDeriving Design Principles for AI-Adaptive Learning Systems: Findings from Interviews with Expertsen_US
dc.title.alternativeDeriving Design Principles for AI-Adaptive Learning Systems: Findings from Interviews with Expertsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holderThis article will not be available until 6 September 2023 due to publisher embargoen_US
dc.source.pagenumber82-94en_US
dc.source.volume13454en_US
dc.source.journalLecture Notes in Computer Science (LNCS)en_US
dc.identifier.doi10.1007/978-3-031-15342-6_7
dc.identifier.cristin2050514
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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