If you are a platform provider dealing with uneven student progress across different demographics — this project developed a knowledge-base on intersectional variables that helps you refine how your software supports diverse learners.
Data-Driven Toolkit for Improving Educational Equity and Learning Outcomes in Europe
Imagine trying to figure out why some students succeed while others fall behind by looking at 25 years of school records. This work acts like a giant map, connecting dots between family background, language, and school policies to see what actually works. It turns complex data into a practical guide for making education fairer for everyone.
What needed solving
Education providers and policymakers lack a clear, evidence-based understanding of which specific reforms actually reduce learning inequalities across different social backgrounds.
What was built
A comparative knowledge-base and a toolbox of assessment tools for policy learning based on 25 years of data.
Who needs this
Who can put this to work
If you are a training firm dealing with low completion rates among marginalized groups — this project developed assessment tools for policy learning that can be used to redesign training paths for better inclusion.
If you are a consultancy dealing with inefficient government education spending — this project developed a toolbox of evidence from 25 years of reforms to help you advise clients on high-impact interventions.
Quick answers
What is the cost or price for using the project results?
Based on available project data, there is no mention of pricing or commercial costs for the resulting toolbox and knowledge-base.
Is the solution available for industrial scale?
The project focuses on creating a knowledge-base and a toolbox for policymakers; it is not a physical product for industrial scaling.
What are the IP and licensing terms?
Based on available project data, specific IP or licensing agreements have not been disclosed.
How long does it take to implement these strategies?
The project analyzes data over a 25 year period to identify both short, medium, and long term effects of education reforms.
How does this integrate with existing school data?
The project uses existing large-scale educational assessment data and registry data to follow student cohorts over time.
Who built it
The consortium is heavily academic, consisting of 5 universities and 1 other research-oriented entity. With only 1 industry partner (an SME), the project has a low industry ratio of 14%, suggesting the primary output is theoretical and policy-driven rather than a commercial product.
Contact OSLOMET - STORBYUNIVERSITETET in Norway
Talk to the team behind this work.
Contact us to find out how to apply these educational equity insights to your EdTech product.