Приказ основних података о документу

dc.creatorKadijević, Đorđe
dc.creatorStephens, Max
dc.date.accessioned2021-03-17T13:40:56Z
dc.date.available2021-03-17T13:40:56Z
dc.date.issued2020
dc.identifier.issn1451-4966
dc.identifier.urihttp://ipir.ipisr.org.rs/handle/123456789/322
dc.description.abstractWith regard to the internationalization of statistics education, this paper considers first a global context concerning modern statistical literacy, data science, and dashboards. Then, it examines data discovery using automated analytics, whereby data insights may be indicated by suitable signals generated by the computer environment used. This theoretical paper, directed towards statistics educators, as well as other educators in relevant high school subjects, should make them (more) aware of this context and such analytics, supporting them to identify issues that need be considered in their teaching (and research) in order to have their students better prepared for the jobs of tomorrow.en
dc.publisherDruštvo matematičara Srbije, Beograd
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200018/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceTeaching of Mathematics
dc.subjectAutomated analyticsen
dc.subjectdata scienceen
dc.subjectstatistics educationen
dc.subjectupper secondaryen
dc.titleModern statistical literacy, data science, dashboards, and automated analytics and its applicationsen
dc.typearticle
dc.rights.licenseBY
dc.citation.epage80
dc.citation.issue1
dc.citation.other23(1): 71-80
dc.citation.rankM53
dc.citation.spage71
dc.citation.volume23
dc.identifier.fulltexthttp://ipir.ipisr.org.rs/bitstream/id/733/conv_698.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_ipir_322
dc.identifier.scopus2-s2.0-85087116850
dc.identifier.wos000545272500008
dc.type.versionpublishedVersion


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Приказ основних података о документу