ERIC Number: EJ1355375
Record Type: Journal
Publication Date: 2021
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2652-0176
EISSN: N/A
Mathematical Modelling in Year 12 Using COVID-19 Data
Singh, Mahua
Australian Mathematics Education Journal, v3 n2 p25-32 2021
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.
Descriptors: Mathematical Models, Mathematics Instruction, High School Students, Grade 12, COVID-19, Pandemics, Correlation, Unemployment, Prediction, Foreign Countries, Data Analysis, Disease Control
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
Publication Type: Journal Articles; Reports - Descriptive
Education Level: High Schools; Secondary Education; Grade 12
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Australia; United States; Sweden; Italy; Brazil
Grant or Contract Numbers: N/A