Complex Systems in a Complex Time: Two Flexible Activities Using Online Models to Study Infectious Disease Transmission and Code Complex Systems Simulations †
| Autor: | Drew A. Rholl |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Coronavirus disease 2019 (COVID-19)
QH301-705.5 Computer science Complex system 050109 social psychology General Biochemistry Genetics and Molecular Biology Education Code (cryptography) 0501 psychology and cognitive sciences Biology (General) StarLogo computer.programming_language Block (data storage) LC8-6691 General Immunology and Microbiology Infectious disease transmission 05 social sciences 050301 education Teaching in a Time of Crisis Special aspects of education Data science Infectious disease (medical specialty) General Agricultural and Biological Sciences 0503 education computer Coding (social sciences) |
| Zdroj: | Journal of Microbiology & Biology Education Journal of Microbiology & Biology Education, Vol 22, Iss 1 (2021) |
| ISSN: | 1935-7885 1935-7877 |
| Popis: | With the advent of COVID-19, major media outlets and health organizations have been eager to provide projections on the spread of infectious disease through a population based on different variables. This report outlines two activities for leveraging the global interest in COVID-19 to (i) encourage students to explore simulations and data presentation, and (ii) develop models of complex systems using a block-based coding platform (StarLogo Nova). The activities may be used independently or paired to build upon each other. |
| Databáze: | OpenAIRE |
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