Global Climate Change: Investigating Correlations
https://tuvalabs.com/datasets/global_change/activities/view/391?activetab=preview
https://tuvalabs.com/datasets/global_change/activities/view/391?activetab=preview
Ms. Smith, Tuva
This resource uses a graph to better understand the relationships among mean annual global temperatures, atmospheric carbon dioxide, and sea level changes at five locations. Students use an interactive scatter plot graph to look at different variables that affect climate change.
This learning activity takes on 45 minute class period.
Learn more about Teaching Climate Literacy and Energy Awareness»Grade Level
Online Readiness
Topics
Climate Literacy
This Activity builds on the following concepts of Climate Literacy.
Click a topic below for supporting information, teaching ideas, and sample activities.
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Teaching Tips | Science | Pedagogy |
Technical Details
Teaching Tips
- The best way to view the lesson is to click on "Try as a Student" on the right-hand side of the web page. This step was not intuitive, and may take an educator some time to navigate. It is recommended teachers look through the lesson in advance.
- Questions become less prescriptive with which variables to add to which axes as students progress, so some students may require more support with later questions.
About the Content
- This is an interactive graphing exercise. Students manipulate the axis in an interactive graph to understand the correlation between rising mean global temperature and carbon dioxide emissions.
- Students are asked questions to better understand the graphing tool and are encouraged to explore to see what conclusions they can take from the dataset.
- Passed initial science review - expert science review pending.
About the Pedagogy
- The lesson offers engaging questions/background information and thorough instructions on how to create various scatter plots applying different variables to the x and y axis.
- The resource provides a space to respond to questions and a light bulb to click on to see the possible responses/answers.
- Students are allowed to explore the dataset and learn graphing techniques as they change the variables they are looking for. Students are able to investigate correlations between these variables and discover conclusions.
- Student will need some background in statistics.
- This resource engages students in using scientific data.
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