6,49 €
AI In Education
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- FormatePub
- ISBN8231186747
- EAN9798231186747
- Date de parution06/05/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurWalzone Press
Résumé
AI in Education by Jihad Saffouri offers a compelling, forward-thinking exploration into the ways artificial intelligence is reshaping the landscape of teaching, learning, and educational equity. With a translator's nuance and an author's precision, Saffouri challenges both utopian and dystopian narratives, urging readers to confront the ethical, psychological, and pedagogical implications of AI's rapid rise in classrooms and curricula.
Structured around key themes-such as personalized learning, assessment automation, surveillance ethics, and teacher agency-the book brings together global research, lived experiences, and cultural insight. It weaves together stories from students, educators, and technologists, examining how AI can amplify both innovation and inequality. Far from being a techno-skeptic's alarm or a futurist's fantasy, AI in Education is a deeply human-centered inquiry.
It asks not only what AI can do, but what education should be. In an age obsessed with productivity and prediction, Saffouri reminds us that meaningful learning is messy, social, and rooted in values-not just data. A must-read for educators, policymakers, and anyone invested in the future of knowledge, this book is both a caution and a call: we must co-design education with wisdom, not just code.
Structured around key themes-such as personalized learning, assessment automation, surveillance ethics, and teacher agency-the book brings together global research, lived experiences, and cultural insight. It weaves together stories from students, educators, and technologists, examining how AI can amplify both innovation and inequality. Far from being a techno-skeptic's alarm or a futurist's fantasy, AI in Education is a deeply human-centered inquiry.
It asks not only what AI can do, but what education should be. In an age obsessed with productivity and prediction, Saffouri reminds us that meaningful learning is messy, social, and rooted in values-not just data. A must-read for educators, policymakers, and anyone invested in the future of knowledge, this book is both a caution and a call: we must co-design education with wisdom, not just code.
AI in Education by Jihad Saffouri offers a compelling, forward-thinking exploration into the ways artificial intelligence is reshaping the landscape of teaching, learning, and educational equity. With a translator's nuance and an author's precision, Saffouri challenges both utopian and dystopian narratives, urging readers to confront the ethical, psychological, and pedagogical implications of AI's rapid rise in classrooms and curricula.
Structured around key themes-such as personalized learning, assessment automation, surveillance ethics, and teacher agency-the book brings together global research, lived experiences, and cultural insight. It weaves together stories from students, educators, and technologists, examining how AI can amplify both innovation and inequality. Far from being a techno-skeptic's alarm or a futurist's fantasy, AI in Education is a deeply human-centered inquiry.
It asks not only what AI can do, but what education should be. In an age obsessed with productivity and prediction, Saffouri reminds us that meaningful learning is messy, social, and rooted in values-not just data. A must-read for educators, policymakers, and anyone invested in the future of knowledge, this book is both a caution and a call: we must co-design education with wisdom, not just code.
Structured around key themes-such as personalized learning, assessment automation, surveillance ethics, and teacher agency-the book brings together global research, lived experiences, and cultural insight. It weaves together stories from students, educators, and technologists, examining how AI can amplify both innovation and inequality. Far from being a techno-skeptic's alarm or a futurist's fantasy, AI in Education is a deeply human-centered inquiry.
It asks not only what AI can do, but what education should be. In an age obsessed with productivity and prediction, Saffouri reminds us that meaningful learning is messy, social, and rooted in values-not just data. A must-read for educators, policymakers, and anyone invested in the future of knowledge, this book is both a caution and a call: we must co-design education with wisdom, not just code.
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