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Deceptive Data Displays - Teaching Students to Decode the Truth

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Grand Hyatt - Lonestar Ballroom B

Interactive Session

Blended Content

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Session description

Teachers will learn to teach students how to identify misleading data tactics like biased graphs and cherry-picked statistics. Through hands-on activities, attendees will gain practical tools and strategies to integrate data literacy into their curriculum, fostering critical thinking and accurate data interpretation in the classroom.

Outline

- Opening (10 min) - Begin by collecting data from attendees. Display a data visualization and ask attendees to discuss with a partner their first impressions and takeaways from the visualization. Repeat for a variety of fields and interests.
- Exploration (15 min) - Discuss, define, and explore real examples of common data fallacies including bias, misleading graphs, and cherry-picking statistics. Scenario cards will be given to tables for discussion and improvements.
- Activity (20 min) - Choose a dataset or an already existing data visualization. Create (or improve) a visualization for the data. This will be done in small groups.
- Presentation (10 min) - Small groups will present their data visualization and/or data collection improvement to other groups at their table and be given feedback.
- Closing (5 min) - Additional resources, reflection, and Q&A.

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Supporting research

- "How to Lie with Statistics" by Darrell Huff (Book)
- "Weapons of Math Destruction" by Cathy O'Neil (Book)
- "Factfulness: Ten Reasons We're Wrong About the World -- and Why Things Are Better Than You Think" by Hans Rosling, Anna Ronnlund (Book)
- "The Ethical Algorithm" by Michael Kearns and Aaron Roth (Book)
- "Beware the Truthiness of Charts" by Harvard Business Review (https://hbr.org/2015/11/beware-the-truthiness-of-charts)
- "How to Spot a Misleading Graph" by Lea Gaslowitz (https://www.youtube.com/watch?v=E91bGT9BjYk)

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Presenters

Charles Wang

Albert Einstein Fellow

CISA

Session specifications

Topic:

Project-, Problem- and Challenge-Based Learning

Grade level:

9-12

Audience:

Curriculum Designer/Director, Teacher Development, Teacher

Attendee devices:

Devices required

Attendee device specification:

Laptop: PC, Chromebook, Mac
Tablet: Android, iOS, Windows

Participant accounts, software and other materials:

Participants should have a web browser and be able to utilize a search engine. They should be able to create graphs/charts on their device.

Subject area:

Arts - Visual, Interdisciplinary (STEM/STEAM)

ISTE Standards:

For Educators:
Designer

Design authentic learning activities that align with educational standards and use digital tools and resources to maximize learning.

For Students:
Knowledge Constructor

Evaluate the accuracy, validity, bias, origin, and relevance of digital content.

Computational Thinker

Collect data or identify relevant data sets, use digital tools to analyze them, and represent data in various ways to facilitate problem-solving and decision-making.

TLPs:

Spark Curiosity, Prioritize authentic experiences