Education 4.0 for Industry 4.0: A Mixed Reality Framework for Workforce Readiness in Manufacturing
Andrea Bondin, Joseph Paul Zammit
Abstract
The rapid emergence of Industry 4.0 technologies has transformed manufacturing, requiring a workforce skilled in automation, data-driven decision-making, and process optimisation. While traditional education includes structured formats such as lectures and tutorials, it may not always equip graduates with the hands-on expertise demanded by modern industrial challenges. This study presents a Mixed Reality (MR)-based educational framework that promotes interactive experiences to enhance students’ engagement with and understanding of Industry 4.0 concepts, aiming to bridge the skills gap through immersive Virtual Learning Factories (VLFs). The framework was developed using a mixed-methods approach, combining qualitative feedback with quantitative benchmarking. A proof-of-concept MR application was developed and tested at the (Anonymised), simulating Industry 4.0 scenarios in an engineering education context to validate the framework. The findings indicate that MR-based learning improved students’ engagement with the academic content, leading to better knowledge retention and deeper conceptual understanding. The students also demonstrated enhanced problem-solving, process optimisation, and adaptability compared to traditional methods. The immersive nature of MR provided an interactive, context-rich environment that fostered active learning. This research highlights MR’s potential as a transformative educational tool, aligning academic training with industry needs. Future research is recommended to evaluate the framework’s scalability and long-term effectiveness.