Blog

New Dynamic Data Science Collection

We’re making data science accessible and empowering students to understand and analyze complex data without hours of coding lessons or years of advanced mathematics. A new collection of Dynamic Data Science activities designed for students in grades 9-14 is now available to get students working with data! National Health and Nutrition Examination Survey Data Portal […]

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Critical questions about pre-college data science education at international statistics conference

Fifty statistics educators from ten countries gathered on July 10, 2018, in Kyoto, Japan, at the International Conference On Teaching Statistics (ICOTS) for the inaugural data science education Special Interest Group (SIG) organized by Tim Erickson of EEPS Media and William Finzer of the Concord Consortium. The large group included university professors, software developers, curriculum […]

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CODAP Helps Students in Puerto Rico Understand the Effects of Extreme Weather

Carla Lopez Lloreda

Students in the Luquillo Schoolyard Project in Puerto Rico are jamming on data. Large, long-term environmental data! And our free, online tool CODAP (Common Online Data Analysis Platform) joined their Data Jam to help students visualize and explore data in an inquiry-oriented way. El Yunque National Forest, the only tropical rainforest in the U.S. National […]

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National Science Foundation awards new grant to strengthen data literacy across the curriculum

CODAP Map

It’s impossible to overstate the importance of getting more students and teachers working with data across all subject areas. Name a problem we face as a society—from combating global warming to feeding the growing population, reducing violence, and increasing equity—and data-savvy people are at the heart of any attempt at a solution. The Concord Consortium, […]

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CODAP

CODAP

Common Online Data Analysis Platform (CODAP) provides an easy-to-use web-based data analysis platform that can be incorporated across the curriculum to help students summarize, visualize, and interpret data, advancing their skills to use data as evidence to support a claim.

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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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