Claude for Teachers is the newest place for teachers to find easy access to Eedi’s Diagnostic Questions.
Blog
Through a Model Context Protocol (MCP) integration, teachers can now access Eedi's full library of diagnostic questions - representing a decade of research into maths misconceptions - directly within Claude.
Press Release
This trial ran over two academic years and leveraged our testbed platform, Eedi School, as a classroom and homework tool. By 12 months the effect was on the cusp of significance, it crossed into clear statistical significance at 18 months (d = 0.46) and held at 24 months (d = 0.30).
News
Research
This blog summarises newly published research from Eedi on selective prediction for responsible knowledge tracing. It discusses how model uncertainty catches risky predictions, preventing silent failures and routing teacher effort to critical intervention points.
This blog summarises our new research paper which explores two novel approaches for extracting latent knowledge state from student-tutor dialogues, leading to AI tutors that are less verbose and more effective at guiding the dialogue.
Eedi is a grantee of Accelerate's '26-27 Call for Effective Technology (CET) program to bring an RCT of our constrained AI Tutor into US classrooms for the very first time.
This blog announces our second "constrained" AI Tutor RCT, started in April 2026, in partnership with Google DeepMind's research team. At its heart is Eedi's diagnostic engine which powers the testbed tool being used in classrooms, Eedi School.
Two invitation-only gatherings - One at Stanford University, the other in Kigali, Rwanda - brought together researchers, policy makers, educators, learners, and entrepreneurs to discuss AI in education.
We believe teachers have a distinct advantage when it comes to using AI to build effective teaching resources and that their expert human-in-the-loop role is key from a safety and pedagogy perspective. Chief Academic Officer, Craig Barton, explains why.
Pedagogy
Newsletter
How specialised Knowledge Tracing (KT) models continue to outperform general-purpose LLMs, in terms of accuracy, speed and cost, when used in learning tools in real world classrooms.
Real-time instructional intelligence built into the lesson drives sharper decisions and stronger instruction – without added tests or tools.
We're honoured to share that Eedi has been selected for the 2026 HundrED Global Collection, which recognises 100 of the world's most impactful and scalable K–12 innovations. HundrED is a global nonprofit dedicated to identifying and sharing innovations that are making a real difference in education. Their Global Collection represents innovations reaching millions of learners worldwide, rigorously vetted by an international academy of education experts.
One-to-one tutoring is education's gold standard but is impossible to scale. This exploratory research shows how a human-in-the-loop Al tutor measurably boosts student learning.
A large-scale independent randomised controlled trial (RCT) reveals that secondary school students using Eedi, an evidence-based provider of AI-powered learning tools, gained two to four months of additional progress in maths during the 2023–2024 academic year.
At Eedi, our mission is to help every child thrive in mathematics. Bold claims aren't enough; educators deserve to see rigorous, independent proof that what we build actually works. That's why we commissioned a large-scale Randomised Controlled Trial (RCT), putting our platform to the most demanding test in education research.
At Eedi, our mission is to support teachers in identifying and addressing students’ misconceptions in mathematics. That’s why we're excited by a new research paper authored by Kasia Kobalczyk, a PhD student at the University of Cambridge. Her paper, Active Task Disambiguation with LLMs, has been selected as a Spotlight at ICLR 2025 and offers a compelling strategy for improving the quality of AI-generat ed content and human-AI alignment. The twist? It’s not about giving better answers—it’s about asking better questions.
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