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European Year of Skills

D-ILA in V4 Project: Revolutionising Adult Learning through AI-Optimized Personalised Training Funding

In the pursuit of advancing adult learning and aligning with EU targets, the Digital Individual Learning Accounts in Poland, the Czech Republic, Slovakia, and Hungary develops and tests a data system for personalised training funding, specifically targeting soft skills development.

People standing in front of a buildning.

Funded within the Erasmus + Programme under Key Action 2 (Vocational Education and Training), the project strives to increase adult learning participation across Europe, in line with the headline target of the European Pillar of Social Rights Action Plan, that 60% of all adults should be participating in training every year by 2030. 

The project in a nutshell 

The project aims to develop a data model that integrates in a single framework the ideas of four EU countries on Individual Learning Accounts, digital competence development and micro-credentials. Individual Learning Accounts refers to a system where everyone has access to quality training opportunities that are tailored to their needs, throughout working life and whether currently employed or not. Whereas micro-credentials mean short-term learning experiences such as short courses or training.  

The data model will be developed using EU solutions such as the DigComp framework or ESCO (European Skills, Competences, Qualifications and Occupations). It will be tested in practice using AI-based solutions, with ongoing validation by the collaborating partners. The use of AI in optimising the data model aims at aligning learner data with relevant training offers, creating a dynamic and responsive ecosystem for skills development. 

One of the standout aspects of the D-ILA project is its commitment to peer learning and collaboration. Participating countries engage in an exchange of views, analysing soft skills frameworks, and delving into personal and training data. This collective effort enables the project to recommend optimal strategies for the use of AI in matching individuals with suitable training, offering valuable insights into the investment estimation for adult training across different regions. 

The progress so far and next steps 

An impact study collected and analysed data describing learners and available training opportunities. Skills frameworks, including LifeComp, DigComp, GreenComp, FinComp, were analysed to explore their compatibility with AI-based algorithms. This groundwork sets the stage for the project's next steps, addressing the use of AI in matching, micro-credentials, and Individual Learning Accounts. 

Data fields and value sets have been developed, generating comprehensive datasets related to both learners and training programmes. While the project is set to conclude in September 2024, the ongoing pilot implementation of AI and the formulation of methodological guidelines are still in progress, promising further advancements in the realm of personalised training funding and soft skills development.