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dc.contributor.authorYU, Siyangen
dc.contributor.authorKONDO, Kazuakien
dc.contributor.authorNAKAMURA, Yuichien
dc.contributor.authorNAKAJIMA, Takayukien
dc.contributor.authorDANTSUJI, Masatakeen
dc.contributor.alternative近藤, 一晃ja
dc.contributor.alternative中村, 裕一ja
dc.contributor.alternative壇辻, 正剛ja
dc.date.accessioned2020-04-07T05:42:21Z-
dc.date.available2020-04-07T05:42:21Z-
dc.date.issued2020-04-01-
dc.identifier.issn0916-8532-
dc.identifier.issn1745-1361-
dc.identifier.urihttp://hdl.handle.net/2433/250172-
dc.description.abstractThis article introduces our investigation on learning state estimation in e-learning on the condition that visual observation and recording of a learner's behaviors is possible. In this research, we examined methods of adaptation for a new learner for whom a small number of ground truth data can be obtained.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherInstitute of Electronics, Information and Communications Engineers (IEICE)en
dc.rights© 2020 The Institute of Electronics, Information and Communication Engineersen
dc.rights許諾条件に基づいて掲載しています。ja
dc.subjecte-Learning status estimationen
dc.subjectvisual sensingen
dc.subjectinterpersonal differencesen
dc.subjectadaptation to new learneren
dc.titleInvestigation on e-Learning Status Estimation for New Learners -- Classifier Selection on Representative Sample Selectionen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleIEICE Transactions on Information and Systemsen
dc.identifier.volumeE103.D-
dc.identifier.issue4-
dc.identifier.spage905-
dc.identifier.epage909-
dc.relation.doi10.1587/transinf.2019EDL8043-
dc.textversionpublisher-
dc.addressAcademic Center for Computing and Media Studies, Kyoto Universityen
dc.addressAcademic Center for Computing and Media Studies, Kyoto Universityen
dc.addressAcademic Center for Computing and Media Studies, Kyoto Universityen
dc.addressAcademic Center for Computing and Media Studies, Kyoto Universityen
dc.addressAcademic Center for Computing and Media Studies, Kyoto Universityen
dc.relation.urlhttps://search.ieice.org/bin/index.php?category=D&lang=E&curr=1-
dcterms.accessRightsopen access-
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