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dc.contributor.authorMelro, A
dc.contributor.authorTarling, G
dc.contributor.authorFujita, T
dc.contributor.authorKleine Staarman, J
dc.date.accessioned2023-03-01T10:13:55Z
dc.date.issued2023-01-23
dc.date.updated2023-03-01T09:46:58Z
dc.description.abstractUnderpinning the teaching of coding with Computational Thinking has proved relevant for diverse learners, particularly given the increasing demand in upskilling for today’s labour market. While literature on computing education is vast, it remains unexplored how existing CT conceptualisations relate to the learning opportunities needed for a meaningful application of coding in non-Computer Scientists’ lives and careers. In order to identify and organise the learning opportunities in the literature about CT, we conducted a configurative literature review of studies published on Web of Science, between 2006 and 2021. Our sample gathers 34 papers and was analysed on NVivo to find key themes. We were able to organise framings of CT and related learning opportunities into three dimensions: functional, collaborative, and critical and creative. These dimensions make visible learning opportunities that range from individual cognitive development to interdisciplinary working with others, and to active participation in a technologically evolving society. By comparing and contrasting frameworks, we identify and explain different perspectives on skills. Furthermore, the three-dimensional model can guide pedagogical design and practice in coding courses.en_GB
dc.description.sponsorshipHEFCE - Higher Education Funding Council for Englanden_GB
dc.description.sponsorshipInstitute of Codingen_GB
dc.format.extent073563312211338-
dc.identifier.citationPublished online 23 January 2023en_GB
dc.identifier.doihttps://doi.org/10.1177/07356331221133822
dc.identifier.urihttp://hdl.handle.net/10871/132584
dc.identifierORCID: 0000-0002-3547-456X (Fujita, Taro)
dc.language.isoenen_GB
dc.publisherSAGE Publicationsen_GB
dc.rights© The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).en_GB
dc.subjectlearning opportunitiesen_GB
dc.subjectcomputational thinkingen_GB
dc.subjectcodingen_GB
dc.subjectnon-CS educationen_GB
dc.subjectliterature reviewen_GB
dc.titleWhat else can be learned when coding? A configurative literature review of learning opportunities through computational thinkingen_GB
dc.typeArticleen_GB
dc.date.available2023-03-01T10:13:55Z
dc.identifier.issn0735-6331
dc.descriptionThis is the final version. Available from SAGE Publications via the DOI in this record. en_GB
dc.identifier.eissn1541-4140
dc.identifier.journalJournal of Educational Computing Researchen_GB
dc.relation.ispartofJournal of Educational Computing Research
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-01-23
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-03-01T10:10:15Z
refterms.versionFCDVoR
refterms.dateFOA2023-03-01T10:14:01Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-01-23


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© The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Except where otherwise noted, this item's licence is described as © The Author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).