Eedi.com
Advancing pedagogy responsibly using big data to power our mission to help every child build the skills and confidence they need to thrive in a rapidly changing world.
About us
Eedi hosts the largest repository of diagnostic questions in the world. With over 120 million answers we have a unique data set with which to understand students’ misconceptions. In collaboration with Microsoft Research we have developed ground-breaking machine learning models to learn from this data and understand and direct students’ learning journeys to help improve learning outcomes. We are committed to sharing our findings and data to further the field
Open calls
Open call for 25 researchers
Deadline: 1st May 2022
Data
In 2020 we hosted the NeurIPS Education Challenge to predict student responses, determine question quality, and identify a personalised set of questions for each student. Our competition received 3696 entries from 382 teams, and many research papers have been published using the competition data set. In 2021 the data set that we released won the Best Publicly Available Educational Data Set Prize awarded by the Educational Data Mining Society. We continue to support the data set as part of our ongoing learning engineering project.
Our team
Simon Woodhead
Data scientist and co-founder
Digory Smith
Data scientist
Craig Barton
Teacher, best-selling author and co-founder
Rachel Kidson
Teacher and Educational Psychology Lead
Publications
VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups
arXiv preprint arXiv:2110.08223
CoRGi: Content-Rich Graph Neural Networks with Attention
arXiv preprint arXiv:2110.04866
School students’ confidence when answering diagnostic questions online
Educational Studies in Mathematics, 1-31
Contextual HyperNetworks for Novel Feature Adaptation
arXiv preprint arXiv:2104.05860
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge
In NeurIPS 2020 Competition and Demonstration Track (pp. 191-205). PMLR
Diagnostic questions: The neurips 2020 education challenge
arXiv preprint arXiv:2007.12061
Large-scale educational question analysis with partial variational auto-encoders
arXiv preprint arXiv:2003.05980
On Formative Assessment in Math: How Diagnostic Questions Can Help
American Educator, 42 (2), 33.