Evidence at Eedi

Our Mission is Impact At Scale

"Claims about what works in education must be held to the highest possible standard. That’s why Eedi invests deeply and continuously in rigorous classroom-based exploratory and confirmatory research with findings independently validated and published in full."

Bibi Groot
Chief Impact Officer

2025 Exploratory AI Tutor RCT with Google DeepMind - Key Findings

The AI tutor was a pedagogical and trustworthy source of instruction

Supervised AI even better than expert humans in knowledge transfer

Most importantly, it was delivered safely with humans-in-the-loop

AI-assisted tutor sessions were longer and more interactive that human-only sessions

Evidence Roadmap

Eedi's evidence process ensures a responsible path to impact at scale. From rapid feedback studies to larger pre-registered RCTs, our approach moves quickly, but is rigorous enough to trust. Eedi trials are currently running across multiple countries and continents, with tens of thousands of K-12 students.

Eedi’s commitment to rigorous evaluation, transparency, and continuous improvement sets a high standard for evidence-informed edtech. Their commitment to robust independent testing and to use the findings to strengthen outcomes for teachers and students is always impressive.

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Dr Emma Dobson
COO, What Worked Education

Working closely together over the past three years through the LEVI partnership, it’s clear that Eedi is committed to rigorously evaluating their tools and working with external researchers to understand the specific mechanisms that drive student learning.

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Lisa Turley-Smith
Research Manager, J-PAL North America

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Interested in becoming an Eedi test school?

Eedi undertakes its own classroom-based research and participates in global, third-party research with leading universities, using the world's most widely respected maths learning platforms.

If your school would like to be involved in shaping the next generation of AI maths learning tools, we’d love to hear from you.

More Eedi Research

Learn more about how our research drives Eedi’s mission to measurably improve learning outcomes for one billion children by 2030.

Data Science ->

Our Data Science team builds the sophisticated models that power our Diagnostic Engine. They translate academic research and real-world data into the predictive, practical AI that underpins our product ecosystem - including end-user products like Eedi Tutor and DQR.

Learning Design ->

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.