The MetaVET project focuses on several key target groups: Direct - 25 Teachers from Bosnia and Herzegovina and Montenegro: The primary aim is to provide training and capacity building for vocational education and training (VET) teachers. These educators are crucial in implementing new technologies and teaching methodologies in the classroom.
100 High School Students from Bosnia and Herzegovina and Montenegro: The project seeks to enhance the learning experiences of students enrolled in vocational education programs, equipping them with relevant skills for the modern workforce.
50 Business Ecosystems from Bosnia and Herzegovina, Montenegro, and other countries benefiting from external workforce: SMEs and industries in the Western Balkans will benefit from a skilled workforce equipped with digital and high-tech skills. The project aims to strengthen the linkages between VET profiles and local, regional, and national strategies to meet labor market needs.
The project offers comprehensive training on integrating new technologies like Co-bots and the Metaverse into vocational education. In the short term, teachers will acquire new skills and methodologies, enhancing their ability to deliver high-quality education. Medium-term effects include increased confidence and adaptability, leading to more engaging and effective teaching practices. Long-term benefits involve sustained relevance in preparing students for the evolving job market, ensuring continued employability and professional growth.
Although an indirect target group, students benefit from exposure to cutting-edge technologies and innovative teaching methods. Short-term effects include increased interest and engagement in learning, as well as practical skills development. In the medium term, students gain valuable competencies relevant to modern industries, improving their employability and career prospects. Long-term outcomes include a skilled workforce capable of driving economic growth and innovation in the region.
Engaged through targeted activities, policymakers will see the project’s impact on education and workforce development. Short-term measures involve awareness-raising and stakeholder consultations. In the medium term, policymakers will help shape education policies to align with the project’s objectives, fostering an environment conducive to innovation and skills development. Long-term effects include the integration of project principles into national education strategies, leading to sustainable improvements in vocational education.
The project enhances the skills and competencies of the local workforce. Short-term activities focus on outreach and partnership building with SMEs and industries. In the medium term, businesses benefit from access to a skilled labour pool equipped with relevant digital and high-tech skills, enhancing productivity and competitiveness. Long-term effects include a thriving ecosystem of innovative businesses driving economic growth and technological advancement in the region.
The MetaVET project aims to create short, medium, and long-term effects for teachers, high school students, policymakers, and business ecosystems in the Western Balkans.
Sustained relevance in preparing students for the evolving job market, ensuring continued employability and professional growth.
A skilled workforce capable of driving economic growth and innovation in the region.
Integration of project principles into national education strategies, leading to sustainable improvements in vocational education.
A thriving ecosystem of innovative businesses driving economic growth and technological advancement in the region.
The partners aim to continue this initiative under other projects, either together or separately.
The curriculum’s adaptability to evolving cobot technologies and methodologies ensures its relevance and longevity. Open-sourcing the training materials through the Train the Trainers programme enhances sustainability, allowing broader access to VET institutes and facilitating ongoing training.
The MetaVET Curriculum is a comprehensive 200-hour Train-the-Trainer programme designed to empower vocational educators and teachers with the knowledge, tools, and practical experience necessary to deliver high-quality training in Entrepreneurship, Collaborative Robotics (Cobots), and Metaverse/XR technologies. Aligned with the European Skills Agenda and the goals of the Digital Europe Programme, this curriculum supports the modernisation of vocational education and training (VET) across Europe.
Targeted at teachers and trainers in secondary schools and vocational institutions, the programme equips participants to confidently implement and adapt MetaVET content for learners at EQF Level 4. Delivered through hands-on laboratories, blended learning, co-teaching activities, and practical delivery sessions, the curriculum ensures educators are fully prepared to bring cutting-edge digital and entrepreneurial skills into the classroom.
The MetaVet Curriculum is a 200-contact-hour Train-the-Trainer programme designed to equip teachers and vocational educators with the skills, resources, and confidence to deliver Entrepreneurship, Collaborative Robotics (Cobots), and Metaverse/XR technologies to their students.
Upon successful completion, trainers will be able to:
Module focus
The Entrepreneurship stream equips learners with a complete venture‑creation skill‑set, guiding them from opportunity spotting in Industry 4.0 (XR, digital twins, cobots) to an investment‑ready business case.
Key learning objectives
Expected learning outcomes
Across eight sub‑modules, learners embrace a “think micro, act global” philosophy: they first validate ideas on a shoestring in local maker‑spaces, proving that even a VR tour guide or robot assisted repair shop can be viable. By the final Business Case Sprint, these experiments translate into hard numbers like market size, IP strategy and funding needs, before the cohort rehearses investor ready pitches in front of mentors. The storyline is deliberately iterative: every clinic, canvas workshop and prototype lab feeds real evidence back into the model, so graduates exit with a data defended venture rather than a theoretical plan.
Module focus
This laboratory module trains learners to safely and efficiently deploy a UR5e collaborative robot in industrial applications. It covers foundational safety protocols, programming using the PolyScope interface, end-effector integration, vision-based automation, and risk assessment.
Key learning objectives
Expected learning outcomes
The Cobots module is delivered as a safety-first engineering lab series. Learners begin with a guided exploration of the UR5e cobot and its components, building up from basic motion programming to advanced workflows. They develop pick-and-place programs, configure different end-effectors, and progressively integrate sensors and vision systems to automate part detection and quality control. Risk assessment and safety are embedded at every step. By the final assessment, learners can deploy a fully functional cobot cell—combining vision-guided pick-and-place, cycle-time optimization, and safety compliance—mirroring the demands of an industrial setting.
Module focus
The Metaverse track prepares participants to design, optimise and deploy industrial XR environments that interface seamlessly with real‑time robotics and analytics.
Key learning objectives
Expected learning outcomes
Metaverse learning is anchored in openness: students analyse why standards such as OpenXR future‑proof content and how platforms like ENGAGE, Spatial and Horizon alter remote‑robot workflows. Building on that insight, they prototype a WebXR control room that streams live ROS2 telemetry, then iterate asset pipelines, capturing, optimising and versioning 3‑D models, to guarantee ≥90 fps on standalone headsets. Throughout, discussions on data privacy, role based permissions and latency benchmarks connect immersive UX decisions to industrial safety and analytics, ensuring every virtual scene stands up to real world production demands.
Upon completing Modules E, C and M, students undertake a three‑part summative assessment that mirrors the full innovation lifecycle:
Successful completion verifies both conceptual mastery and professional‑grade application of entrepreneurship, cobotics and XR design.
