If you are an EdTech provider dealing with low completion rates in generic courses — this project developed the MOVE platform that uses AI-supported recommendations to provide concise, person-centered learning formats. This increases engagement by tailoring content to the user's specific growth index.
AI-Driven Platform for Personalized Upskilling and Employment Transition for Vulnerable Workers
Imagine a GPS for your career that doesn't just show the destination, but tells you exactly which small skills you're missing to get there. It uses a special scoring system to see where you stand and then suggests bite-sized learning modules to fill the gaps. It's like a personalized fitness plan, but for getting a job in the modern economy.
What needed solving
Vulnerable workers struggle to find employment because their skills don't match market needs and they lack a clear path to upskill. Traditional training is often too generic and fails to engage the target group.
What was built
The EGROW Index for measuring employability growth and the MOVE digital platform for AI-recommended micro-credentials.
Who needs this
Who can put this to work
If you are a government agency dealing with high unemployment in vulnerable groups — this project developed the EGROW Index that classifies and segments user groups based on their digital and green capabilities. This allows for more precise targeting of reskilling programs.
If you are a large company dealing with a workforce that lacks green and digital skills — this project developed a modular ecosystem for micro-credentials. This helps you transition employees into new roles using a data-driven growth measurement tool.
Quick answers
What is the cost or pricing model for the MOVE platform?
Based on available project data, no specific pricing or cost information is provided as the project is currently in the research and innovation phase.
Can this be scaled to an industrial level?
The project uses a Grassroot Living Lab for validation and includes 15 partners across 9 countries, suggesting a design intended for cross-border scalability.
Who owns the IP and how is licensing handled?
Based on available project data, specific IP and licensing agreements are not detailed; these are typically managed by the consortium led by Aarhus Universitet.
How does the system integrate with existing HR software?
The project focuses on a modular digital platform (MOVE) and a taxonomy (EGROW Index), though specific API or integration protocols are not listed in the summary.
What is the timeline for the final results?
The project period runs from 2024-10-01 to 2028-03-31, with final results currently listed as in progress.
Who built it
The consortium is research-heavy but balanced for validation, featuring 15 partners from 9 countries. With 5 universities and 2 research institutions alongside 3 industry partners and 4 SMEs (20% industry ratio), the project combines academic rigor in econometrics with practical SME agility to ensure the digital platform is viable for real-world employment transitions.
Contact Aarhus Universitet (DK) regarding the MOVE platform and EGROW Index.
Talk to the team behind this work.
Contact us to track the development of the EGROW Index for your HR tech strategy.