Design of Educational Modules for Industry 5.0 Technologies Teaching

Industry 5.0 is emerging across sectors like medicine, fishing, mining, research, automation, and education, emphasizing human-technology collaboration for greater efficiency, innovation, and sustainability. Unlike Industry 4.0, which prioritized automation, Industry 5.0 reintegrates the human element to foster synergistic systems between humans and machines. In automation and education, technologies like collaborative robots, AI, and IoT are increasingly included in university curricula to prepare students for this new era. This paper aims to develop an Industry 5.0 teaching system using three educational modules: a collaborative robot arm, a conveyor belt with AI-driven quality control, and an IoT module for data collection and cloud analysis. These modules assess students' prior knowledge and learning outcomes. Implemented as final lab exercises in the Industrial Intelligent Automation B course at Pontificia Universidad Católica del Perú, these modules targeted 7th-semester students and beyond. They allowed students to engage with real-world industrial systems, deepening their understanding of Industry <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{5. 0}$</tex> principles. The results showed significant improvements in students' theoretical and practical knowledge, as reflected in their final grades. This hands-on approach effectively combined advanced and conventional technologies to enhance technical skills and real-world application abilities.