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The international reports of the World Economic Forum (WEF) and the Organization for Economic, Cooperation, and Development (OECD), related to the future of work and the development of the Knowledge, Skills, and Abilities (KSA) of workers, highlight the importance of predicting the impact of the mismatch of skills and potential talent shortages in the workforce. The methodology used in this research to design the dynamic frameworks for KSA belongs to the field of Futures Studies. Our study considered two Research Questions to identify the most effective future strategies (in the short, medium, and long term): What kind of Skills and Jobs model would Higher Education Institutions (HEI) need to prepare students in the required KSAs for a life of continuous challenge?; What tool might be needed to close KSA gaps, minimize the impact of mismatches, and enable agile development of KSA upgrade and improvement strategies? Findings showed that the Machine Learning Model can serve as an international reference guide to design the 2030 educational approaches of active and experiential learning in HE Institutions.

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A Machine Learning Model of Knowledge, Skills, and Abilities (KSA) for Industry 4.0 Workforce

  • 会议论文

  • 发表日期：

    2025年

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  • Luis José González-Gómez,
  • Valentina Rueda-Castro,
  • Guillermo M. Chans,
  • Genaro Zavala,
  • Julieta Noguez,
  • Patricia Caratozzolo

摘要

The international reports of the World Economic Forum (WEF) and the Organization for Economic, Cooperation, and Development (OECD), related to the future of work and the development of the Knowledge, Skills, and Abilities (KSA) of workers, highlight the importance of predicting the impact of the mismatch of skills and potential talent shortages in the workforce. The methodology used in this research to design the dynamic frameworks for KSA belongs to the field of Futures Studies. Our study considered two Research Questions to identify the most effective future strategies (in the short, medium, and long term): What kind of Skills and Jobs model would Higher Education Institutions (HEI) need to prepare students in the required KSAs for a life of continuous challenge?; What tool might be needed to close KSA gaps, minimize the impact of mismatches, and enable agile development of KSA upgrade and improvement strategies? Findings showed that the Machine Learning Model can serve as an international reference guide to design the 2030 educational approaches of active and experiential learning in HE Institutions.