Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Advanced Courses | 1 |
| COVID-19 | 1 |
| Computer Software | 1 |
| Epidemiology | 1 |
| Mathematical Models | 1 |
| Mathematics Instruction | 1 |
| Models | 1 |
| Pandemics | 1 |
| Programming Languages | 1 |
| Scientific Research | 1 |
| Teaching Methods | 1 |
| More ▼ | |
Source
| International Journal of… | 1 |
Author
| Liang Kong | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLiang Kong – International Journal of Mathematical Education in Science and Technology, 2024
The COVID-19 pandemic, like past historical events such as the Vietnam War or 9/11, will shape a generation. Mathematics educators can seize this unprecedented opportunity to teach the principles of mathematical modeling in epidemiology. Compartmental epidemiological models, such as the SIR (susceptible-infected-recovered), are widely used by…
Descriptors: Mathematics Instruction, Teaching Methods, Advanced Courses, Epidemiology
