Session Objectives and Scope
To ensure that companies remain competitive in the transition between industry 4.0 and industry 5.0, which is rooted in the concepts of sustainability, resilience, and human-centricity, it is essential to train the new generation of engineers with a new and appropriate set of competences.
It is indeed crucial that the engineers of the future will be: (i) aware of sustainability issues, so that they can design actions to ensure long-term positive environmental impacts; (ii) capable of adapting to changing circumstances and managing uncertainties and unforeseen events with agility; (iii) able to collaborate with diverse individuals and teams to achieve common goals. In addition to these three aspects, a fourth, indispensable element in 4.0 industry must be considered: digitalisation. This entails the ability to analyse and organise data, utilise the latest technologies, and connect and optimise devices and systems through the Internet of Things (IoT).
These kinds of skills are not always easily acquired through standard educational models, which primarily rely on lectures to impart knowledge. Knowledge alone is indeed insufficient for workers to operate effectively in the industry 4.0 and industry 5.0 environments: a new set of hands-on skills is also required. To bridge this gap, knowledge must be transformed into skills, and innovative teaching methods that emphasise practical application have the potential to provide the solution.
Teaching factories serve as an example of an environment where students can develop new skills through experimentation, such as problem-solving, data analysis, and multidisciplinary collaboration. Furthermore, the design of new learning spaces and learning activities can contribute to shaping more sustainable and circular manufacturing systems and services.
This special session will focus on the development of skills for industry 4.0 and industry 5.0 through innovative teaching methods, such as blended learning, problem-based learning, and experiential learning. Contributions in the form of reference frameworks, survey findings, and case studies focusing on learning principles for digital and sustainable manufacturing systems are welcome.
Organizer(s):
Mattia Galimberti
Fabiana Pirola
Monica Rossi
Rossella Pozzi