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dc.contributor.authorHeuling, Lydia Schulze
dc.contributor.authorWild, Steffen
dc.contributor.authorVest, Anja
dc.date.accessioned2022-02-16T13:07:42Z
dc.date.available2022-02-16T13:07:42Z
dc.date.created2021-12-03T12:37:07Z
dc.date.issued2021
dc.identifier.citationHeuling, L. S., Wild, S., & Vest, A. (2021). Digital Competences of Prospective Engineers and Science Teachers: A Latent Profile and Correspondence Analysis. International Journal of Education in Mathematics, Science and Technology, 9(4), 760-782.en_US
dc.identifier.issn2147-611X
dc.identifier.urihttps://hdl.handle.net/11250/2979394
dc.description.abstractIn the light of ubiquitous information and communication technologies (ICT) it is essential for everyone to be digitally competent. This is particularly true for prospective engineers and teachers since their jobs play an important role in shaping our common future. We assessed engineering and science teacher students’ (n=180) digital competences at two higher education institutions in Germany using the DigComp framework. Applying a group comparison using t-Test analysis we found no differences in the level of digital competences. However, the subsequent latent profile analysis followed by correspondence analysis revealed that high digital competences correspond with a frequent use of various ICT, supporting the theory of the importance of implicit learning. Secondly, the data points towards a reproduction of the patterns of the digital divide showing the influence of socio-economic background and gender on the expression of digital competences. Recommendations for agents (student advisory services, companies, etc.) that wish to support and improve students’ digital competences are incorporated in the conclusions.en_US
dc.language.isoengen_US
dc.publisherInternational Society for Technology, Education and Science (ISTES)en_US
dc.rightsNavngivelse-Ikkekommersiell-DelPåSammeVilkår 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/deed.no*
dc.titleDigital competences of prospective engineers and science teachers: A latent profile and correspondence analysisen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 International Journal of Education in Mathematics, Science and Technologyen_US
dc.source.pagenumber760-782en_US
dc.source.volume9en_US
dc.source.journalInternational Journal of Education in Mathematics, Science and Technologyen_US
dc.source.issue4en_US
dc.identifier.doi10.46328/ijemst.1831
dc.identifier.cristin1964260
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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