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Visualized Statistics and Students’ Reasoning Processes in A Post Truth Era
Linköping University, Faculty of Educational Sciences. Linköping University, Department of Behavioural Sciences and Learning, Division of Learning, Aesthetics, Natural Science. (Pedagogiskt arbete, Norrköping)ORCID iD: 0000-0002-3979-1343
Linköping University, Faculty of Educational Sciences. Linköping University, Department of Behavioural Sciences and Learning, Division of Learning, Aesthetics, Natural Science. (Pedagogiskt arbete, Norrköpnig)ORCID iD: 0000-0002-3115-9060
2020 (English)In: The Journal of Interactive Learning Research, ISSN 1093-023X, Vol. 31, no 1, p. 49-76, article id 210238Article in journal (Refereed) Published
Abstract [en]

In these times, described as an ´post-truth´ era where we are faced with information overload, it is a challenge to help students find relevant information, support their knowledge building and engage them in thinking critically about information and knowledge from different perspectives. This study investigates how a visual analytics interface (with a dynalinked view of an interactive map together with interactive graphs) and students interact to solve tasks in secondary schools’ social-science classrooms. Teachers are probably better able to support their students if they know more about the translations and the patterns that emerge when students try to engage in interactive graph reading. We have distinguished three patterns that emerge in the interactions. These patterns, decoding, manoeuvring and incorporation of prior knowledge, is supportive in elucidating the students’ visual and analytical reasoning processes. Insights about those reasoning processes is important since earlier research has highlighted the centrality of considering the problems of the complexity of interactive graph reading and thus dealing with issues concerning students’ abilities to read and interpret such graphs, when presented as part of interactive information visualization technology.

Place, publisher, year, edition, pages
Association for the Advancement of Computing in Education, 2020. Vol. 31, no 1, p. 49-76, article id 210238
National Category
Educational Sciences
Identifiers
URN: urn:nbn:se:liu:diva-170247OAI: oai:DiVA.org:liu-170247DiVA, id: diva2:1472919
Funder
Swedish Research Council, 2015-01280Available from: 2020-10-04 Created: 2020-10-04 Last updated: 2022-01-10Bibliographically approved

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Nissen, JörgenStenliden, Linnéa

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CiteExportLink to record
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