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Data Science Games

Data Science Games

All data science game scenarios follow a similar design: students take context-specific actions in the game. They store their data, organize it, analyze it, and visualize it in the surrounding CODAP environment.

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GRASP

GRASP

GRASP (Gesture Augmented Simulations for Supporting Explanations) studies the role that motions of the body play in forming explanations of scientific phenomena. We’re conducting studies with middle school students, gathering data to apply to enhancing educational tools.

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InquirySpace

InquirySpace

InquirySpace gives students tools, guidance, and ideas that greatly expand the range and sophistication of meaningful open-ended science investigations.

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Building Models

Building Models

Michigan State University and the Concord Consortium are collaborating to examine how to support secondary school students in constructing and revising models based on disciplinary core ideas and crosscutting concepts to explain scientific phenomena.

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