Imagine trying to figure out why some students fall behind while others thrive by looking at their whole school journey, not just a snapshot. This work gathers long-term data from different countries to see which school policies actually work to close the gap. It's like creating a master map that shows which interventions help kids from different backgrounds succeed over time.
Educational providers struggle to identify which specific policies actually close achievement gaps for disadvantaged students over time. There is a lack of comparable, long-term data across different European education systems.
A systematic review of longitudinal studies and a data mapping tool to merge differing educational datasets into a joint analytical design.
If you are a platform provider dealing with uneven student progress across different demographics — this project developed a data mapping system that identifies effective interventions to close achievement gaps. This allows for the creation of more targeted learning paths based on socio-economic and gender data.
If you are a government body dealing with systemic educational disparities — this project developed a public metadata database that describes successful school-level policies. This helps in allocating resources to the most effective regional practices.
If you are a training firm dealing with skill gaps in immigrant or disadvantaged populations — this project developed a method to analyze longitudinal data on educational inequalities. This provides evidence on how to better support learners in the short and long term.
Based on available project data, the project aims to create a public framework and a public metadata database, suggesting the results may be open-access rather than priced products.
The project focuses on creating a European-level comparability tool across 6 countries, which provides a scalable model for data mapping in education.
Based on available project data, the project emphasizes public frameworks and dissemination to the wider public, but specific licensing terms are not listed.
The project uses a system to restructure and merge data from widely differing longitudinal studies into a joint analytical design.
The project runs from 2024-03-01 to 2028-02-29, with systematic reviews already completed in the first reporting period.
The consortium is heavily academic, consisting of 8 universities and 1 other organization across 6 countries (DE, FI, HU, LU, NO, SE). With 0 industry partners and 0 SMEs, the project is driven by research expertise in large-scale educational assessment rather than commercial application.
Contact TAMPEREEN KORKEAKOULUSAATIO SR in Finland
Contact us to track the release of the public metadata database for educational equity.
