The DigComp4VET project is proud to announce the successful development of the Work Package 2, an in-depth and DigComp-based mapping and consolidation of needs assessment and benchmarking for the digitalisation of VET institutions across EU and country level.

DigComp4VET, co-funded by the Erasmus+ Programme of the EU Commission, aims to generate new digital education material that will assist, assess, and engage learners through the intentional use of digital technology in education and training. DigComp4VET will contribute to the resilience and relevance of the European VET system through the implementation and operationalisation of the DigComp Frameworks in VET settings. Specifically, WP2 represents an innovative assessment model to tackle challenges in VET digitalisation.

The project consortium comprises seven organizations from six European countries (Belgium, Germany, Italy, Poland, Romania, and Spain), working diligently during WP2 activities to analyse trends, identify digital skill gaps, and uncover opportunities within the VET ecosystem. This in-depth research will serve as the foundation for developing innovative training courses tailored to address the identified training needs.

WP2 development revolved around a rigorous benchmarking process, aligning the newly created model with established EU frameworks such as DigCompEDU and DigCompORG. By leveraging these frameworks, the consortium ensured that the selected digital competences adhere to European standards.

During WP2, it was realised the Executive Multidimensional Matrix, a key deliverable for the project. This comprehensive matrix provides a systematic overview of the essential digital competences required for VET teachers, trainers and students. By offering a structured approach, the matrix enables VET providers to identify and prioritise the areas where they need to build their digital capabilities and educational offerings. These identified areas will be addressed through the DigComp-inspired training curricula in WP3.

The construction of the matrix relied on the development of five country-specific reports (for Germany, Italy, Poland, Romania and Spain) and of a pan-EU snapshot, providing valuable insights into the state of play of VET digitalisation. These six reports serve as essential resources for policymakers, education and training stakeholders, and VET providers themselves, facilitating informed decision-making and strategic planning. All six have been merged and consolidated into a Composite Report representing the comprehensive narrative document of WP2. It is accessible on the project platform under the mapping section:

Within the DigComp4VET WP2, the consortium developed several additional deliverables, including:

  • An Executive Summary available in multiple languages (English, German, Italian, Polish, Romanian and Spanish) summarising the key findings from all reports and the entire innovative assessment model
  • A Composite Literature Review that serves as a comprehensive compilation of sources used for the research and analysis. This review amalgamates the literature reviews from each individual report, providing a consolidated resource
  • 18 Case Studies and Good Practices, with three of them included into each report. These latter offer practical illustrations of VET digitalization initiatives

To access the WP2 deliverables, please visit the direct link:

For any further information on DigComp4VET project:

The European Commission’s support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
Legal description – Creative Commons licensing: The materials published on the Micro2 project website are classified as Open Educational Resources’ (OER) and can be freely (without permission of their creators): downloaded, used, reused, copied, adapted, and shared by users, with information about the source of their origin.

Comments are closed