DataWISE is a tool that scaffolds key science practices and media literacy skills to guide students in critical analysis of data-based claims.
WISE represents the four key aspects that should be considered when we encounter a claim that requires scientific information to support it:
W - Is this worthy of attention?
I - Inspect the data
S - Does this make sense?
E - What emotion is activated?
Download the DataWISE template [PDF]
Below are links to DataWISE activities to engage students in evaluating data-based claims using the DataWISE tool. Each is designed to be completed in one hour of class time.
Introduction
Students compare science to other ways of knowing and evaluate examples of misleading data-based claims. The DataWISE tool is introduced as a checklist for evaluating any claim that would require scientific evidence as support.
> Go to the activity
Peer Review
Students analyze a research article about cat injuries and write feedback to the authors.
> Go to the activity
Conflict of Interest
Students analyze research sponsored by a nonprofit organization that is funded by tobacco companies and respond to their claims about the safety of smokeless tobacco products.
> Go to the activity
Evaluating Use of Fossil Fuels
Students analyze a fact sheet produced by an organization that promotes the oil production industry and compare its claims about fossil fuels to scientists’ claims.
> Go to the activity
Comparing Climate Claims
Students analyze a section of a publication from an organization known for denying the scientific consensus on climate change and compare its claims to scientists’ claims about climate change.
> Go to the activity
Science in the News
Students analyze two news articles reporting on a study about possible associations between gratitude and mortality. Students will then compare the articles’ interpretations of the study to the actual study in the academic journal in which it was published.
> Go to the activity
For a more thorough explanation of the tool, see DataWISE Explained [PDF].
