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Covid and data science: Understanding R0 could change your life
1School of Education, University of Durham Durham UK.
Teaching Statistics
|April 12, 2024
Summary
The Covid epidemic highlights the need for diverse statistical tools and data science skills. This study offers teaching strategies using pandemic data to enhance students
Area of Science:
- Statistics and Data Science Education
Background:
- The Covid epidemic demonstrated the critical need for statistical literacy.
- Citizens encounter complex data in real-world issues like pandemics.
Purpose of the Study:
- To provide educators with teaching ideas for data science concepts.
- To connect statistical tools to the authentic context of pandemic containment.
Main Methods:
- Focus on core statistical concepts: exponential growth, estimation, graph interpretation, measurement, and sampling.
- Utilize real-world pandemic data for practical learning.
Main Results:
- Students gain insights into data science dimensions through practical application.
- Core statistical ideas are reinforced within an authentic global health context.
Conclusions:
- Teaching statistical concepts using pandemic data enhances student understanding.
- Developing data literacy is crucial for informed civic engagement in a data-rich world.
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