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AI Education for Tomorrow's Workforce: Leveraging Learning Factories for AI Education and Workforce Preparedness

Contributo in Atti di convegno
Data di Pubblicazione:
2024
Citazione:
(2024). AI Education for Tomorrow's Workforce: Leveraging Learning Factories for AI Education and Workforce Preparedness . Retrieved from https://hdl.handle.net/10446/293106
Abstract:
Industry 4.0 marks a significant change in the business world, brought about by technologies like automation, IoT, AI, smart factories, and cyber-physical systems. Industry 5.0, on the other hand, prioritizes worker well-being and emphasizes human-centric approaches in manufacturing. While these revolutions offer improved productivity, sustainability, and resilience, integrating them presents challenges, particularly in securing a skilled workforce adept in Artificial Intelligence (AI). Higher education institutions (HEIs) are critical in addressing this need by updating their curricula and enhancing their infrastructure. The boundaries between industries are becoming less distinct due to digital technologies, which means that education needs to adjust to changing requirements. The use of AI tools in education has become a driving force in transforming learning experiences, fostering creativity, and getting people ready for the era of digitalization. This paper explores how Learning Factories (LFs) can serve as a means for AI education, focusing on existing white- and blue-collar workers who primarily benefit from tools like LFs for reskilling and upskilling, as well as prospective workers such as university graduates who can acquire the necessary skills through these factories before entering the workforce.
Tipologia CRIS:
1.4.01 Contributi in atti di convegno - Conference presentations
Elenco autori:
Dehbozorgi, Mohammad Hossein; Rossi, Monica; Terzi, Sergio; Carminati, Luca; Sala, Roberto; Magni, Francesco Emmanuele; Pirola, Fabiana; Pozzi, Rossella; Strozzi, Fernanda; Rossi, Tommaso
Autori di Ateneo:
CARMINATI Luca
MAGNI Francesco Emmanuele
PIROLA Fabiana
SALA Roberto
Link alla scheda completa:
https://aisberg.unibg.it/handle/10446/293106
Titolo del libro:
IEEE 8th Forum on Research and Technologies for Society and Industry Innovation (RTSI)
Pubblicato in:
..IEEE..INTERNATIONAL FORUM ON RESEARCH AND TECHNOLOGIES FOR SOCIETY AND INDUSTRY
Series
Progetto:
TechFact - Design and adoption of Teaching Factories, Learning Spaces and Learning Activities for fostering the education of a responsible generation of engineers and technical students
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