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            Matematisk kompetanse

            I dybden på resultater fra PISA 2022

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            Author(s)
            Pettersen, Andreas
            Jensen, Fredrik
            Lid Berget, Ingeborg
            Kaarstein, Hege
            Løvgren, Maria
            Mosvold, Reidar
            Nilsen, Trude
            Nortvedt, Guri A.
            Radišić, Jelena
            Senneset, Marte K.
            Contributor(s)
            Pettersen, Andreas (editor)
            Jensen, Fredrik (editor)
            Language
            Norwegian Bokmål
            Show full item record
            Abstract
            The results of the Programme for International Student Assessment (PISA) 2022 survey were published in a short report in the autumn of 2023. The report generated a great deal of interest in Norway, mainly due to Norwegian students’ poor performance in mathematics. In this anthology, the authors further analyze of the mathematics results in PISA 2022 and previous PISA surveys. The authors examine various aspects of the students’ mathematical competence, the core content of mathematics as a subject and they ways in which it is taught. In addition, they examine the extent to which Norwegian students have equal opportunities to master mathematics by looking more closely at characteristics of students who do poorly in mathematics and the significance of socio-economic background to student achievement levels. The results are discussed in a Norwegian school context and in light of the PISA 2022 results for the other Nordic countries, the LK20 curriculum and the COVID-19 pandemic as well as other current research. Some of the chapters have a didactic profile aimed at teachers, student teachers and school leaders, while other chapters are aimed more at researchers, politicians and decision-makers.
             
            Hovedresultatene fra PISA-undersøkelsen 2022 ble publisert i en kortrapport høsten 2023. Rapporten fikk mye oppmerksomhet, hovedsakelig på grunn av de norske elevenes svake prestasjoner i matematikk. I denne antologien gjør forfatterne videre analyser av matematikkresultatene fra PISA 2022 og tidligere PISA-undersøkelser. Forfatterne undersøker ulike sider ved elevenes matematiske kompetanse, innholdet i matematikkfaget og matematikkundervisningen. I tillegg undersøker de i hvilken grad norske elever har like muligheter til å lykkes i matematikk, ved å se nærmere på hva som kjennetegner de lavtpresterende elevene i matematikk, og hvilken betydning sosioøkonomisk status har for elevenes prestasjoner. Resultatene diskuteres i en norsk skolekontekst og blir sett i lys av resultater for de andre nordiske landene, læreplanen LK20, covid-19-pandemien og annen aktuell forskning. Noen av kapitlene har en didaktisk profil rettet mot lærere, lærerstudenter og skoleledere, mens andre kapitler i større grad er rettet mot forskere, politikere og beslutningstakere.
             
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/165964
            Keywords
            mathematical literacy, equity, core elements, PISA 2022, matematisk kompetanse, likeverd, kjerneelementer, PISA 2022; thema EDItEUR::Y Children’s, Teenage and Educational::YP Educational material::YPM Educational: Mathematics, science and technology, general; thema EDItEUR::Y Children’s, Teenage and Educational::YP Educational material::YPM Educational: Mathematics, science and technology, general::YPMF Educational: Mathematics and numeracy; thema EDItEUR::J Society and Social Sciences::JN Education; thema EDItEUR::J Society and Social Sciences::JN Education::JNT Teaching skills and techniques::JNTC Competence development
            DOI
            10.23865/cdf.222
            ISBN
            9788202854300, 9788202854317, 9788202854324, 9788202854331
            Publisher
            Cappelen Damm Akademisk/NOASP (Nordic Open Access Scholarly Publishing)
            Publisher website
            http://press.nordicopenaccess.no
            Publication date and place
            Oslo, 2024
            Pages
            278
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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