This interactive dashboard displays data on the public perceptions of climate change collected from surveys in the UK, Sweden, Brazil, and China.
The data explores feelings of worry, urgency, and seriousness associated with the climate crisis and identifies solutions thought to most be effective by participants.
Teaching Tips
Positives
The data are presented in a visually appealing way that is easy to understand.
The data can be filtered by country, gender, age, and financial stability.
Additional Prerequisites
Students should know how to read a bar graph.
This data may cause students to feel stress or worry related to climate change. Be sensitive to the emotions of your students.
Differentiation
Math classes can use this resource to practice interpreting graphs and summarizing data.
Cross-curricular connections can be made with science classes by having students research the actual effectiveness of the potential solutions mentioned in the data set.
The data shows that most participants feel worried about climate change. This can be used to open a conversation about how to manage these feelings.
Students could use these survey questions to collect data about their class or community. Students could then create similar graphs to display their data and analyze how the data sets compare.
Other similar resources include this graph about American beliefs on climate change, this report detailing global public opinion on climate change, and this interactive tool to explore climate opinion data.
Scientist Notes
The resource includes research on public perceptions of climate change impacts in various countries as well as CO2 reduction strategies. This is a good resource to use in the classroom.
Standards
Mathematics
Statistical Reasoning: Statistics and Probability (6-8)
7.SP.A.1 Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.
