Telling Climate Stories with Data
Grades: 9, 10, 11, 12
Type: Lesson Plans
Subjects: Biology, Geography, Mathematics
Authors: Day of AI, Isabella Pu, Rachel Connolly, Matthew Taylor, Cynthia Breazeal
Location: Earth, South America
This resource has been reviewed by SubjectToClimate's climate scientists and verified for scientific accuracy and up-to-date information. Learn about our review process →
This resource has been reviewed by SubjectToClimate's climate scientists and verified for scientific accuracy and up-to-date information. Learn about our review process →
Synopsis
- In this 6-lesson module from Day of AI, students will work with coding and data visualization tools like Deepnote, Python, and Pandas to make meaning and tell stories with climate change data.
- Students will learn how to use Deepnote, create a scatter plot and line graph with data from Brazil, use a best-fit line to create a predictive model, and select a country to analyze climate change data and create a data story presentation for.
Teaching Materials
Positives
- The Deepnote material uses video, pictures, and detailed instructions that take students through the assignment step-by-step.
- The lesson also includes explanations for new terms and concepts that use analogies to access students' background knowledge and maximize understanding.
Prerequisites
- As the guide explains, teachers will need to create a free Deepnote account. Deepnote has a free version and a paid version that teachers can get for free; however, Deepnote does not recognize all school emails.
- Teachers and students should also have experience with and access to Python.
- Students should understand the concept of correlation.
Differentiation & Implementation
- Each lesson has a list of vocabulary words. To support language acquisition, teachers and students can work together to create a word wall to reference throughout the unit.
- In Lesson 1 or 2, to support learning throughout the rest of the unit, students and teachers can work together to create an anchor chart for the steps to make meaning with and understand data. Students can refer to this resource throughout the module as they work with data independently. Teachers can use the questions in the Meaning Making and Storytelling sections in Lesson 1 and the Data Analysis Pipeline graphic in Lesson 2.
- If students are struggling to work through the data using the steps in Deepnote, teachers may want to do the steps at the same time as a class, projecting what the screen should look like at all times.
This resource gives learners a thorough understanding of how to analyze and visualize big data, make sense of it, and use it to develop stories about the climate. We evaluated the lesson slides, worksheets, external links, and resources and determined that they were adequate.
Teaching Tips
Standards
Resource Type and Format
Scientist Reviewed
This resource has been reviewed by SubjectToClimate's climate scientists and verified for scientific accuracy and up-to-date information. Our review process ensures that every resource in our library reflects the current state of climate science.
Learn about our review process →
