Data and statistical literacy
When numbers want to fool you: three questions
Students examine axes, comparison groups, denominators and time intervals to understand how data presentation can influence interpretation.
View in the course catalog ↗Curriculum / Data literacyData literacy
Do accurate numbers guarantee a sound conclusion?
From chart axes and denominators to samples, comparisons and research methods, practice interpreting data with care.
IN THE CLASSROOM
What do students do?
Inspect how a chart organizes data, decide whether two sets are comparable and explain what the results do and do not support.
For mathematics, science, social issues and reporting research results.
EXPLORE THE LESSONS
Courses in this area
Courses can connect more than one area. These descriptions come from the existing course collection.
Comparability and conflicting evidence
Comparability check: four boxes before you judge
Before deciding that two papers conflict, students compare their subjects, data, scope and measurement methods.
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Analysis and reporting results
Data analysis: from question to results paragraph
Students choose methods and charts based on a research question, interpret the results and check whether each analysis addresses that question.
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ESG greenwashing evidence chains
Spotting greenwashing: the Tesla ESG evidence chain
Using Tesla’s impact report, students formulate checkable questions and compare evidence across environmental, social and governance issues.
View in the course catalog ↗THE NEXT CHAPTER OF LEARNING
Bring AI into learning. Keep students thinking.
Start with a reading, a piece of writing or a project. See how the Mark of Thinking can support your teaching.