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The rapid evolution of Industry 4.0 technologies has brought unprecedented challenges and opportunities to Higher Education. This study delves into the landscape of Industry 4.0 technologies as explored through the renowned MIT (Massachusetts Institute of Technology) Technology Review employing Network Analysis techniques. By scrutinizing articles, reports, and insights within MIT Technology Review, this research aims to unveil the intricate connections and trends within the realm of Industry 4.0. Semantic Network Analysis offers a comprehensive lens through which to understand the interplay of various technologies, their implications, and their adoption trajectories within academia and industry. Through the exploration of the MIT Technology Review corpus, this study seeks to identify key technologies, emerging trends, and potential areas for future research and innovation in the context of University 4.0. By shedding light on the dynamics of Industry 4.0 technologies within the MIT Technology Review ecosystem, this research contributes to enhancing technological literacy and informing strategic decision-making in Higher Education and beyond. The findings hold implications for curriculum development, research prioritization, industry collaboration, and policy formulation in the era of Industry 4.0.

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Higher Education 4.0 for Technological Literacy and Inclusion: Exploring Key 4.0 Technologies in the MIT Technology Review

  • 会议论文

  • 发表日期：

    2025年

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  • Beatriz Plaza,
  • Ibon Aranburu,
  • Maria Inês Pinho,
  • Asier Santas,
  • Maria Belen Mendizabal,
  • Zarrina Kadyrova

摘要

The rapid evolution of Industry 4.0 technologies has brought unprecedented challenges and opportunities to Higher Education. This study delves into the landscape of Industry 4.0 technologies as explored through the renowned MIT (Massachusetts Institute of Technology) Technology Review employing Network Analysis techniques. By scrutinizing articles, reports, and insights within MIT Technology Review, this research aims to unveil the intricate connections and trends within the realm of Industry 4.0. Semantic Network Analysis offers a comprehensive lens through which to understand the interplay of various technologies, their implications, and their adoption trajectories within academia and industry. Through the exploration of the MIT Technology Review corpus, this study seeks to identify key technologies, emerging trends, and potential areas for future research and innovation in the context of University 4.0. By shedding light on the dynamics of Industry 4.0 technologies within the MIT Technology Review ecosystem, this research contributes to enhancing technological literacy and informing strategic decision-making in Higher Education and beyond. The findings hold implications for curriculum development, research prioritization, industry collaboration, and policy formulation in the era of Industry 4.0.