The project aimed to adapt VET education to labour market needs by developing and testing learning modules focused on Artificial Intelligence and adapted to pre-university students. Its main goal was to provide VET teachers and students with practical competences in three key AI areas: computer vision, robotics, and ambient intelligence. A central objective was to train teachers to deliver these complex topics effectively, helping them integrate AI-related skills into their regular curricula. The project sought to transform advanced and abstract content into accessible, practice-based lessons supported by simulations and open digital tools. Each module included structured teaching units with teacher and student guides, exercises, and examples based on learning by doing, encouraging active problem-solving through programming tasks and real-world scenarios. Beyond technical content, the project aimed to promote EU priorities such as digital transformation, inclusion, and environmental sustainability, while enhancing the attractiveness and innovation of VET programmes and strengthening cooperation between universities and VET schools across Europe.
The AIM@VET project was designed to respond to the growing need for digital transformation in vocational education and training (VET). As artificial intelligence, robotics and data-driven technologies reshape the labour market, many VET schools still lack the tools and knowledge to train students for these new realities. The project aimed to bridge this gap by promoting cooperation between universities and VET centres, supporting teachers and students in acquiring practical competences in AI and emerging technologies. It also addressed the need for innovative teaching methods that connect theoretical learning with industrial practice. AIM@VET developed digital teaching units and training activities on computer vision, robotics and ambient intelligence, supported by simulation tools and open digital resources. In line with EU priorities, the project promoted green practices, gender balance and inclusion, contributing to a more sustainable and equitable digital education ecosystem.