• Technology

EN-AI-BLE

EN-AI-BLE aims to enhance employability and social inclusion for people with intellectual disabilities through AI-powered vocational training.

Project summary 

The EN-AI-BLE project aims to enhance employability and social inclusion for people with intellectual disabilities by developing innovative AI-powered vocational training in electronics. The project will create accessible digital learning tools and training resources that support learners in developing practical skills while earning recognised micro-credentials.

Through a combination of adaptive learning technologies, gamified educational content, and hands-on training activities, EN-AI-BLE seeks to break down barriers to vocational education and employment. The project brings together universities, research institutions, training providers, and disability organisations across Europe to design inclusive training pathways that respond to labour market needs and promote digital inclusion.

By integrating AI with inclusive training methodologies, EN-AI-BLE will support both learners and vocational education professionals in building more accessible and effective learning environments.

Aims

  • Improve employability opportunities for people with intellectual disabilities through inclusive vocational education.
  • Develop an AI-powered digital learning platform for electronics training.
  • Provide adaptive and gamified learning experiences tailored to diverse learning needs.
  • Enable learners to obtain recognised micro-credentials linked to vocational skills.
  • Strengthen the capacity of VET professionals to deliver inclusive and technology-enhanced training.

Target groups 

  • Individuals with intellectual disabilities, who are the direct beneficiaries of the AI-enhanced vocational training in electronics. They face employment barriers including limited vocational education, unrecognised qualifications, and inadequate workplace accommodations.
  • VET professionals and trainers - who will be equipped with AI-driven teaching methodologies and inclusive training strategies through train-the-trainer programmes
  • Employers and industry stakeholders in the electronics sector, who are involved in validating training content, offering internships, and facilitating job placements
  • VET providers and institutions - who are expected to adopt and integrate ENAIBLE's training modules and micro-credentials into their existing programmes
  • Policymakers and disability advocacy organisations - engaged through dissemination and policy advocacy activities

Project results  

  • A user-friendly AI-based EdTech digital learning platform.
  • Modular training content and deployment of AI-enhanced gamified learning tools.
  • Pilot training sessions and stakeholder engagement initiatives ensure broad adoption.

Project Resources

  • Best practices Handbook: This guide provides valuable insights into innovative AI-powered training by bringing together a wide range of information, best practices, and cutting-edge methodologies from across Europe. It offers a comprehensive overview of how artificial intelligence can be effectively integrated into training and educational contexts, highlighting practical approaches, emerging tools, and scalable solutions.In addition, the guide provides an extensive list of tools, together with their respective functions and features, as well as the contexts in which they can be applied within the education and training of individuals with higher support needs.

Duration 

1 December 2025 – 30 November 2027

Partnership  

EN-AI-BLE brings together eight organisations from across Europe, combining expertise in inclusive education, vocational training, digital technologies, and social inclusion.

Contact

Funding 

Erasmus+ 

Funded by the European Union. Views and opinions expressed are, however, those of the project and project consortium only and do not necessarily reflect those of the European Union or the European Commission Neither the European Union nor European Commission can be held responsible for them. 

Back