Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| COVID-19 | 1 |
| Correlation | 1 |
| Data Analysis | 1 |
| Disease Control | 1 |
| Foreign Countries | 1 |
| Grade 12 | 1 |
| High School Students | 1 |
| Mathematical Models | 1 |
| Mathematics Instruction | 1 |
| Pandemics | 1 |
| Prediction | 1 |
| More ▼ | |
Source
| Australian Mathematics… | 1 |
Author
| Singh, Mahua | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
| Grade 12 | 1 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Australia | 1 |
| Brazil | 1 |
| Italy | 1 |
| Sweden | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Singh, Mahua – Australian Mathematics Education Journal, 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…
Descriptors: Mathematical Models, Mathematics Instruction, High School Students, Grade 12

Peer reviewed
Direct link
