Mathematical Modelling in Year 12 Using COVID-19 Data

Autor/in	Singh, Mahua
Titel	Mathematical Modelling in Year 12 Using COVID-19 Data
Quelle	In: Australian Mathematics Education Journal, 3 (2021) 2, S.25-32 (8 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2652-0176
Schlagwörter	Mathematical Models; Mathematics Instruction; High School Students; Grade 12; COVID-19; Pandemics; Correlation; Unemployment; Prediction; Foreign Countries; Data Analysis; Disease Control; Australia; United States; Sweden; Italy; Brazil + Suchen Sie Ihr Suchwort? Mathematical model; Mathematisches Modell; Mathematics lessons; Mathematikunterricht; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; School year 12; 12. Schuljahr; Schuljahr 12; Korrelation; Arbeitslosigkeit; Vorhersage; Ausland; Auswertung; Australien; USA; Schweden; Italien; Brasilien
Abstract	In 2020, Year 12 students at John Curtin College of the Arts, were required to model COVID-19 data from five different countries in order to find correlations between daily infections and unemployment rates, in order to make future predictions. Work received from students demonstrated how the task successfully provided unique learning opportunities, which are otherwise not experienced in a classroom environment under the pressures of a curriculum that is highly exam-focused and based on mechanistic algorithms. The paper also discusses some challenges faced and how they were overcome. (As Provided).
Anmerkungen	Australian Association of Mathematics Teachers (AAMT). Tel: +61-8-8363-0288; e-mail: office@aamt.edu.au; Web site: https://primarystandards.aamt.edu.au/Journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01