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The New Engineering Education to Face Industry 5.0 Challenges
Patricia Caratozzolo;Valentina Rueda-Castro;Jose Daniel Azofeifa;Vianney Lara-Prieto;Jorge Membrillo-Hernández
2024 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC)
Year: 2024 | Conference Paper |
The shift from Industry 4.0 to Industry 5.0 indicates a human-centered, sustainable, and resilient workplace, emphasizing the integration of human factors into industrial systems and work processes. This paper examines how universities must redesign engineering programs to prepare students for the Industry 5.0 era, integrating advanced technologies with human-centric skills. The methodology involv...Show More
Revolutionizing Engineering Education Through Future Skills for Workforce Development at INFOCOMM: A Proposal for Multisensory Decision Sessions Application
Jose Daniel Azofeifa;Luis Jose Gonzalez-Gomez;Valentina Rueda-Castro;Julieta Noguez;Patricia Caratozzolo
2024 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)
Year: 2024 | Conference Paper |
This paper proposes an innovative application of the Multisensory Virtual Decision-Making Center (MVDC) to revolutionize course and occupational profile structuring decision sessions in the INFOCOMM Technologies sector, aligning with the demands of Industry 4.0. Strategic integration with the innovative web framework ShapingSkills seamlessly incorporates future skills, professional profiles, and d...Show More
Analyzing Future Skills Adoption by Top-100 Universities of QS-Ranking: Present and Future Skills Opportunities
Luis Alberto Mejía-Manzano;Jose Daniel Azofeifa;Valentina Rueda-Castro;Nicolás Otaduy-Rivera;Patricia Caratozzolo
The purpose of this study was to examine how, in recent years, the top 100 universities in the QS ranking have integrated the development of Future Skills into their curricula to address the evolving demands of the labor market. The PRISMA methodology was used to perform a comprehensive search and analysis focusing on research articles and internal university documents, with significant contributi...Show More
Revolutionizing Training in Continuing Engineering Education: An Experimental Proposal Using the Multi-Sensory Virtual Decision-Making Center
Jose Daniel Azofeifa;Valentina Rueda-Castro;Luis Jose Gonzalez-Gomez;Julieta Noguez;Patricia Caratozzolo
In the context of Industry 4.0, engineering education is evolving rapidly, requiring new approaches to continuing engineering education (CEE). Traditional methods struggle to meet the demands of professionals looking to update their skills. This study presents an experimental proposal using the Multisensory Virtual Decision Making Center (MVDC) to improve CEE training creation. The MVDC creates co...Show More
Analyzing Natural Language Processing Techniques to Extract Meaningful Information on Skills Acquisition From Textual Content
Luis Jose Gonzalez-Gomez;Sofia Margarita Hernandez-Munoz;Abiel Borja;Jose Daniel Azofeifa;Julieta Noguez;Patricia Caratozzolo
Natural Language Processing (NLP) combines linguistics, computer science, and AI to enable computers to understand and interpret human language, making it crucial for analyzing large amounts of language data. This technology, paired with predictive models, has significant potential to forecast the relevance and evolution of skills needed in the industry, enhancing skills acquisition and alignment ...Show More
Future Skills Forecasting: Ensuring Quality Learning for Every Segment of the Workforce
Patricia Caratozzolo;Uriel Cukierman;Bente Nørgaard;Katriina Schrey-Niemenmaa;Jose Daniel Azofeifa;Valentina Rueda-Castro
2024 IEEE Global Engineering Education Conference (EDUCON)
Year: 2024 | Conference Paper |
Cited by: Papers (4)
In their last international report, “Jobs of the Future 2023”, the World Economic Forum strongly emphasizes that the ability to forecast future skills is paramount in ensuring quality learning for the workforce in the context of Industry 4.0 and beyond because it enables individuals and organizations to adapt, remain competitive, and thrive in a rapidly evolving industrial landscape. This study fo...Show More
Engaging Engineering Education Through Multi-Sensory Virtual Decision-Making Centers: A Gamified Approach
Jose Daniel Azofeifa;Valentina Rueda-Castro;Luis Jose Gonzalez-Gomez;Guillermo M. Chans;Patricia Caratozzolo;Julieta Noguez
2024 IEEE Global Engineering Education Conference (EDUCON)
Year: 2024 | Conference Paper |
Cited by: Papers (2)
The article explores the transformative impact of gamification in education, highlighting the integration of theory and practice to create dynamic and engaging learning experiences using multi-sensory virtual reality environments, such as the Multi-Sensory Virtual Decision-Making Center (MVDC). Among the state of the art of gamification, it has been shown that gamification significantly improves s...Show More
Unlocking the Future of INFOCOMM Workforce: A Visual KSA Matrix Taxonomy Approach to Education and Occupational Profiles
Jose Daniel Azofeifa;Valentina Rueda-Castro;Luis Jose Gonzalez-Gomez;Sonia M. Gómez-Puente;Julieta Noguez;Patricia Caratozzolo
2024 IEEE Global Engineering Education Conference (EDUCON)
Year: 2024 | Conference Paper |
Cited by: Papers (3)
Skills taxonomies are a useful classification system for all skills that an employee must count at the workplace. Taxonomies provide a framework for seeking, classifying, evaluating, and indicating the skills that are essential for all kinds of professions. Taxonomies based on Future Skills usually have a visual framework to show their occupational structures and provide upskilling and reskilling ...Show More
A Matrix Taxonomy of Knowledge, Skills, and Abilities (KSA) Shaping 2030 Labor Market
Patricia Caratozzolo;Jose Daniel Azofeifa;Luis Alberto Mejía-Manzano;Valentina Rueda-Castro;Julieta Noguez;Alejandra J. Magana;Bedrich Benes
2023 IEEE Frontiers in Education Conference (FIE)
Year: 2023 | Conference Paper |
Cited by: Papers (4)
This paper proposes a dynamic Knowledge, Skills, and Abilities (KSA) matrix-based taxonomy for the Industry 4.0 workforce. The study methodology consisted firstly of identifying the KSAs through a literature review and secondly of a KSA relevance analysis using information from World Economic Forum (WEF) global reports and the Organization for Economic Cooperation and Development (OECD). Finally, ...Show More
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