The PEMS-ML project is designed to revolutionize Measurement Science and Technology (MST) education by integrating advanced machine learning (ML) techniques, ensuring students and educators are equipped with cutting-edge tools and methodologies. Rooted in three core pillars—personalized learning, modern course development, and the advancement of teaching methodologies—PEMS-ML aligns with the Education 5.0 framework to create a more adaptive, engaging, and effective learning experience.

A key focus of the project is the implementation of ML-driven personalized learning, tailoring educational strategies to accommodate individual student needs. By optimizing course structures with intelligent algorithms, the project enhances student engagement, making learning more accessible and effective.

Additionally, it seeks to bridge the gap between scientific advancements and industry requirements by incorporating disruptive technologies such as IoT, Industrial IoT, Digital Twins, and AI-driven sensor technologies.

These innovations are now fundamental to autonomous systems, robotics, and Industry 5.0, yet current university curricula often fail to reflect these rapid developments. PEMS-ML addresses this disconnect by integrating these technologies into MST education, ensuring graduates are well-prepared for the evolving demands of various industries, including agriculture, medicine, and ecology.

Beyond content modernization, the project also transforms teaching methodologies by embracing innovative approaches such as flipped classrooms, game-based learning, and collaborative educational models. By developing comprehensive resources—including video lectures, interactive presentations, and digital tools—PEMS-ML provides educators with the means to create an engaging and student-centred learning environment. A strong feedback system will also be implemented, gathering input from students, educators, and industry stakeholders to continuously refine educational methods and maintain alignment with industry needs.

Ultimately, the project aims to cultivate a new generation of MST professionals equipped with advanced analytical and problem-solving skills, capable of contributing to Industry 5.0 innovations. It supports educators in adopting and refining modern teaching approaches while fostering global collaboration among academic institutions, industry leaders, and policymakers. By integrating machine learning into MST education, PEMS-ML not only enhances the learning experience but also ensures that graduates are prepared to drive technological progress across multiple fields.