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

Mohammad Hossein Dehbozorgi,Monica Rossi,Sergio Terzi,Luca Carminati,Roberto Sala,Francesco Magni,Fabiana Pirola,Rossella Pozzi,Fernanda Strozzi,Tommaso Rossi

Published 2024 in International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow

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.

PUBLICATION RECORD

  • Publication year

    2024

  • Venue

    International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow

  • Publication date

    2024-09-18

  • Fields of study

    Computer Science, Education

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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REFERENCES

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