AI Roles and Responsibilities in Education

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Bol This book explores how artificial intelligence (AI) is reshaping education through practical, pedagogical, and ethical lenses. It provides educators, policymakers, and researchers with evidence-based strategies for integrating AI tools into teaching and learning, particularly within STEAM education. Drawing from real-world implementations, including an in-depth case study of postgraduate teacher training in Europe, the author presents AI not merely as a tool but as a catalyst for educational transformation. Topics include generative AI, curriculum design, ethical integration, and responsible innovation. From adaptive tutoring systems to prompt engineering, the book equips readers with the knowledge and frameworks needed to critically and creatively engage with AI in classrooms. Demonstrates classroom-tested strategies for AI use in STEAM and broader educational contexts; Highlights ethical challenges, including algorithmic bias, transparency, and human oversight; Offers a future-oriented framework for AI literacy and curriculum integration. This book explores how artificial intelligence (AI) is reshaping education through practical, pedagogical, and ethical lenses. It provides educators, policymakers, and researchers with evidence-based strategies for integrating AI tools into teaching and learning, particularly within STEAM education. Drawing from real-world implementations, including an in-depth case study of postgraduate teacher training in Europe, the author presents AI not merely as a tool but as a catalyst for educational transformation. Topics include generative AI, curriculum design, ethical integration, and responsible innovation. From adaptive tutoring systems to prompt engineering, the book equips readers with the knowledge and frameworks needed to critically and creatively engage with AI in classrooms. Demonstrates classroom-tested strategies for AI use in STEAM and broader educational contexts; Highlights ethical challenges, including algorithmic bias, transparency, and human oversight; Offers a future-oriented framework for AI literacy and curriculum integration.

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This book explores how artificial intelligence (AI) is reshaping education through practical, pedagogical, and ethical lenses. It provides educators, policymakers, and researchers with evidence-based strategies for integrating AI tools into teaching and learning, particularly within STEAM education. Drawing from real-world implementations, including an in-depth case study of postgraduate teacher training in Europe, the author presents AI not merely as a tool but as a catalyst for educational transformation. Topics include generative AI, curriculum design, ethical integration, and responsible innovation. From adaptive tutoring systems to prompt engineering, the book equips readers with the knowledge and frameworks needed to critically and creatively engage with AI in classrooms. Demonstrates classroom-tested strategies for AI use in STEAM and broader educational contexts; Highlights ethical challenges, including algorithmic bias, transparency, and human oversight; Offers a future-oriented framework for AI literacy and curriculum integration. This book explores how artificial intelligence (AI) is reshaping education through practical, pedagogical, and ethical lenses. It provides educators, policymakers, and researchers with evidence-based strategies for integrating AI tools into teaching and learning, particularly within STEAM education. Drawing from real-world implementations, including an in-depth case study of postgraduate teacher training in Europe, the author presents AI not merely as a tool but as a catalyst for educational transformation. Topics include generative AI, curriculum design, ethical integration, and responsible innovation. From adaptive tutoring systems to prompt engineering, the book equips readers with the knowledge and frameworks needed to critically and creatively engage with AI in classrooms. Demonstrates classroom-tested strategies for AI use in STEAM and broader educational contexts; Highlights ethical challenges, including algorithmic bias, transparency, and human oversight; Offers a future-oriented framework for AI literacy and curriculum integration.


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Merk Springer
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  • 9783031968549
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