This past Wednesday, the science group met to talk about data literacy! Here is something to think about and bring to your classes when developing data-based lessons.
5 Ways to Bring Statistical Thinking to your Lessons:
1. Consider what the sample is every time we look at data
- What/who is in the sample and what/who is not? How was the sample collected? How big is the sample?
2. We need to talk about uncertainty
- Hedging language ( typically, tends, indicates, suggests, likely rather than definitive or deterministic language) encourages students to think more about data from an aggregate and nuanced perspective
3. We support with evidence
- We should train our students to learn to discuss which claim is most supported by the evidence instead of stating their claims deterministically as the “right” answer from the data.
4. We can only make claims from the data we have, not what we want to have (Self-explanatory)
5. We need to think about whether a finding is truly meaningful
- (Helping our students to develop the habit of taking a pause for some healthy skepticism enables them to build statistical thinking skills to make sense of data and is needed before they learn how to calculate statistical equations (Chance 2022)
Gathered from Why should we all embrace statistical thinking by Kristin Hunter-Thomson. Science Scope, 2023
Here is our Resource Padlet.
Happy Teaching!