Build a research-based learning progression to make meaning from data.Refine our understanding of challenges faced by learners confronted with increasingly sophisticated data and tools.
Transform science education to prepare students for a data-intensive world.Develop rigorously-tested model learning environments - curricula, professional development, and technology tools - that effectively engage and support students in learning from and about data.
Bring together experts and stakeholders to forge new pathways.Bring together experts in traditional STEM disciplines with experts from newly developing fields such as data analytics and interface design to solve the hard problems necessary to infuse data into classrooms.
“The growth of big data has given rise to a whole new class of questions that need to be asked and answered. We need new tools to help students learn techniques for seeing patterns in data, and for analyzing and interpreting data in ways similar to those practiced by scientists and mathematicians.”
—Wayne Harvey, Vice President, EDC
