Use Case
Dataspace for Manufacturing Skills
THE GOAL
To bridge the gap between theoretical knowledge and practical skills in advanced manufacturing by providing tailored learning pathways for students, employees, and job-seeking people in the sector.
ADDED VALUE
Creation of a personalised learning platform that will provide tailored learning content recommendations, bridging the gap between training services and the skill needs in the manufacturing domain.
IMPACTED STAKEHOLDERS
Students, employees and people seeking job in the manufacturing sector
Partners Involved
- Country
MORE INFO
Today, the manufacturing sector is in need of a workforce possessing advanced skills in terms of Industry 4.0 technologies. Students of this sector, who will form the future workforce, usually lack practical skills in these areas, which are necessary in today’s digital age. The primary challenge that this use case addresses is therefore to bridge the gap between theoretical knowledge and practical skills in advanced manufacturing.
In order to achieve this ambitious goal, this skills data space use case aims at providing tailored learning pathways for both students and employees of the sector to equip individuals with essential competencies in AI, digital twins, data modelling, and other Industry 4.0 technologies – skills that are increasingly demanded in the manufacturing sector but often lacking among graduates.
This project aims to develop an advanced platform that offers personalised learning content recommendations to students/employees. This will be done by leveraging data space technologies, enabling a structured and GDPR-compliant exchange of skills-related data between the University of Patras and its Laboratory for Manufacturing Systems and Automation (LMS), training providers, and industry stakeholders. The envisioned platform will match learners with the most relevant training content based on their current expertise and career aspirations, facilitating a more personalised and effective learning experience. Additionally, the system will integrate skills analytics services to identify industry needs dynamically and ensure that training offerings remain aligned with labour market demands.
A key assumption is that by providing targeted upskilling opportunities, students and employees will be better prepared for the workforce, while manufacturers and employers will benefit from a more skilled talent pool. The project also seeks to create a feedback loop where data insights on skills gaps inform curriculum development, fostering continuous improvement in education and training strategies
ACHIEVED OUTCOMES
COMING SOON!
Use Cases are focused on key challenges such as lifelong learning, upskilling, and employee retention, demonstrating the practical benefits of the European Skills Data Space.