Concord Consortium
Revolutionary digital learning for science, math, and engineering
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Latest posts
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Is what we are doing working? Reimagining assessment in the age of AI
I love fall. I love the crisp air, the gorgeous leaves, the new school year and the excitement it brings. And I love the memories. Twenty years ago, I met two people who would change my life—my husband and a work colleague whom I’m now honored to call a friend. Mimi Harris…
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Co-designing machine learning investigations for Earth Science inquiry
For geoscientists looking at seismic wave signals, machine learning is a game changer. The AI technology makes manual labeling of seismograms nearly obsolete as it can analyze extensive datasets automatically, identifying patterns and relationships in seismic waves that would…
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Amy Pallant — Transforming Earth science education with innovative simulations
For Concord Consortium senior research scientist Amy Pallant, it all began with a set of questions. To celebrate its 125th anniversary, the journal Science published a list of unanswered questions in science. Pallant saw a possible way to engage middle and high school students…
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Expanding access to data exploration with AI
With DAVAI, our AI-supported plugin for CODAP, learners who are blind or have low vision can engage in independent data inquiry. Based on a user’s typed or spoken query, DAVAI can make a graph within CODAP’s data exploration environment, describe it, and generate a sonic…
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Under the hood of the new and improved CODAP
More than 3.5 million people have used CODAP to explore and analyze data. But behind every graph, table, and data visualization lies a story three decades in the making. If you want to know the story of the new and improved CODAP and how it came to be one of the most widely used…