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dc.contributor.authorFjørtoft, Henning
dc.contributor.authorLai, Mei Kuin
dc.date.accessioned2021-09-03T11:45:16Z
dc.date.available2021-09-03T11:45:16Z
dc.date.created2020-02-29T08:00:37Z
dc.date.issued2020
dc.identifier.issn0191-491X
dc.identifier.urihttps://hdl.handle.net/11250/2772870
dc.description.abstractData use in education is a sensemaking process in which practitioners and researchers interact with different systems of meaning such as anecdotes or spreadsheets. The representational qualities of data and their influence on practice are critical but less well-discussed aspects of data use. Drawing on social semiotics, this theoretical article proposes that data should be discussed in terms of narrative and numerical modes of representation. Narrative data typically consist of protagonists and actions organized in a temporal structure, while numerical data typically consist of mathematical notations and visual representations such as graphs and figures. We argue that the representational properties of these two modes affect how data are interpreted and acted upon. We then present two contrasting cases from New Zealand and Norway of how affordances affect teachers’ data use processes. Finally, we discuss five challenges arising from our theorization about the affordances of data.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleAffordances of narrative and numerical data: A social-semiotic approach to data useen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalStudies in Educational Evaluationen_US
dc.identifier.doi10.1016/j.stueduc.2020.100846
dc.identifier.cristin1798617
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal