<p>This review examines Araya and Marber's timely edited volume "Augmented Education in the Global Age" (2023), which arrives as AI classrooms move from science fiction to reality and emotion-sensing systems begin monitoring student engagement. The review explores how this comprehensive work tackles the fundamental question: Will AI liberate human potential or render traditional skills obsolete? Through three interconnected sections, the book navigates the rapidly evolving relationship between artificial intelligence, education, and the future of work. The authors introduce provocative concepts like the "Turing trap" and reimagine human cognition through the intriguing "brain as magpie" metaphor, challenging conventional thinking about learning and skill development. The review highlights the book's optimistic outlook while raising critical questions about structural barriers to equitable AI implementation and power dynamics in technology development. For educators, policymakers, and technologists navigating our AI-augmented future, this volume offers compelling insights into how humanity might adapt alongside increasingly sophisticated technologies. The review suggests this work is essential reading for anyone seeking to understand what may be required to thrive in an era where the boundaries between human and machine intelligence continue to blur and evolve.</p>

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Augmented or obsolete: a book review of Augmented education in the global age: navigating the future of learning and work

  • Duc-Hung Nguyen,
  • Ngoc-Anh Nguyen,
  • Hong-Kong T. Nguyen

摘要

This review examines Araya and Marber's timely edited volume "Augmented Education in the Global Age" (2023), which arrives as AI classrooms move from science fiction to reality and emotion-sensing systems begin monitoring student engagement. The review explores how this comprehensive work tackles the fundamental question: Will AI liberate human potential or render traditional skills obsolete? Through three interconnected sections, the book navigates the rapidly evolving relationship between artificial intelligence, education, and the future of work. The authors introduce provocative concepts like the "Turing trap" and reimagine human cognition through the intriguing "brain as magpie" metaphor, challenging conventional thinking about learning and skill development. The review highlights the book's optimistic outlook while raising critical questions about structural barriers to equitable AI implementation and power dynamics in technology development. For educators, policymakers, and technologists navigating our AI-augmented future, this volume offers compelling insights into how humanity might adapt alongside increasingly sophisticated technologies. The review suggests this work is essential reading for anyone seeking to understand what may be required to thrive in an era where the boundaries between human and machine intelligence continue to blur and evolve.