The PreVEnT project aims to achieve the following objectives: O1: Develop a market-oriented PM education toolkit using deep tech solutions (e.g., AI, machine learning, collaborative robotics) to train over 200 VET learners and employees, improving their job performance and employability. O2: Create an innovative toolkit for VET trainers to enhance their capacity to deliver inclusive and effective PM education, reduce dropout rates, and empower learners to take ownership of their learning path. O3: Establish a micro-credential certification framework to provide formal recognition for PM-related skills, awarding at least 200 certifications and increasing employability by addressing workforce skill gaps. These objectives aim to improve VET education, align training with labour market demands, and promote sustainability through environmentally and socially impactful PM practices.
The PreVEnT project addresses specific skill gaps in Predictive Maintenance (PM) using deep tech solutions. It aims to develop innovative, market-oriented educational resources for VET learners and trainers, who currently lack access to emerging PM curricula. The project supports the growing demand for PM professionals to improve infrastructure resilience, reduce resource use, and mitigate environmental and social impacts. The project targets key needs: - VET learners and employees require skills in advanced technologies like AI, machine learning, collaborative robotics and lifecycle analysis to enhance employability and job performance; - VET trainers need modern pedagogical strategies, digital tools and methods to reduce dropout rates, promote inclusion and deliver effective PM training; - Industries and VET providers seek micro-credential systems and dual education frameworks to better align training with labour market needs, while fostering sustainability.