“Eedi’s Data Science team is responsible for diagnosing student knowledge gaps. We’ve spent over a decade collecting the novel and granular data needed to accurately diagnose and help resolve student misconceptions. That misconception data is now available to other researchers who want to understand more deeply how students think and learn.”
Simon Woodhead,
Chief Data Scientist and Co-Founder
Eedi’s data flywheel allows us to feed real student learning data and domain expertise continuously into our models to improve the accuracy of our Diagnostic Engine. From novel data to pattern discovery to actionable insights, product updates and more data. Every student interaction makes our Engine smarter.
Eedi is the GOAT of sharing data with researchers and enabling new development in AI for education.
Check out the seven individual sets of Eedi’s misconception data Eedi currently offers to our colleagues in the Learning Engineering field.
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Eedi's Digory Smith and Simon Woodhead host a monthly meetup for data science professionals in education. Join them for thoughtful and engrossing discussions!
Learn more about how our research drives Eedi’s mission to measurably improve learning outcomes for one billion children by 2030.
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Our Learning Design team of experienced former teachers is responsible for the integrity of Eedi's diagnostic questions and misconception library, ensuring every question, construct, distractor and explanation is age-appropriate and evidence-informed.
Our Evidence team measures real-world impact. It designs and runs rapid tests and gold-standard Randomised Controlled Trials (RCTs), independently validated, to demonstrate real, measurable improvements in learning outcomes for students.
