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  • Teaching AI Literacy Across the Curriculum: A K-12 Handbook

    Teaching AI Literacy Across the Curriculum by Lyublinskaya, Irina; Du, Xiaoxue;

    A K-12 Handbook

      • GET 8% OFF

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      • Publisher's listprice GBP 31.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        15 787 Ft (15 035 Ft + 5% VAT)
      • Discount 8% (cc. 1 263 Ft off)
      • Discounted price 14 524 Ft (13 832 Ft + 5% VAT)

    15 787 Ft

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    Availability

    Not yet published.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher Corwin
    • Date of Publication 14 October 2025

    • ISBN 9781071964712
    • Binding Paperback
    • No. of pages272 pages
    • Size 254x177 mm
    • Language English
    • 700

    Categories

    Short description:

    AI is reshaping the future of education. Are your students ready?


    In an era where artificial intelligence (AI) is revolutionizing every facet of life, from how we shop to how we get our news, it’s inevitable that AI is changing the way we teach and the way students learn. For students to thrive in this world, they need more than just the ability to use technology; they need to understand how it works, its potential, and its limitations. They need AI literacy.


    Teaching AI Literacy Across the Curriculum delves into the symbiotic relationship between AI and education, providing cutting-edge research and practical strategies to seamlessly incorporate AI literacy into teaching across disciplines. Authors Irina Lyublinskaya and Xiaoxue Du introduce a pedagogical framework for teaching AI literacy that explores the Big Five Ideas in AI and integrates with practical strategies for teaching AI core concepts across different subjects.


    Divided into three parts, focusing on theoretical foundations, practical examples, and assessment of AI literacy, this book



    • Offers guidance on integrating AI literacy across various subjects, such as Science, Mathematics, English Language Arts, and Social Studies

    • Provides real-world examples that provoke thoughtful discussions on the ethical considerations and biases inherent in AI

    • Helps teachers to foster critical thinking to ensure that students are well-prepared for the AI-driven future

    • Includes a companion website with access to a wealth of resources such as lesson plans and supplemental materials, templates, and graphic organizers to support AI education in the classroom


    By weaving AI concepts into the educational tapestry, this book serves as a valuable resource for educators, offering practical strategies and insights to cultivate a generation of learners who are not only technologically adept but also critically engaged with the ethical and societal implications of AI.

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    Long description:

    AI is reshaping the future of education. Are your students ready?


    In an era where artificial intelligence (AI) is revolutionizing every facet of life, from how we shop to how we get our news, it’s inevitable that AI is changing the way we teach and the way students learn. For students to thrive in this world, they need more than just the ability to use technology; they need to understand how it works, its potential, and its limitations. They need AI literacy.


    Teaching AI Literacy Across the Curriculum delves into the symbiotic relationship between AI and education, providing cutting-edge research and practical strategies to seamlessly incorporate AI literacy into teaching across disciplines. Authors Irina Lyublinskaya and Xiaoxue Du introduce a pedagogical framework for teaching AI literacy that explores the Big Five Ideas in AI and integrates with practical strategies for teaching AI core concepts across different subjects.


    Divided into three parts, focusing on theoretical foundations, practical examples, and assessment of AI literacy, this book



    • Offers guidance on integrating AI literacy across various subjects, such as Science, Mathematics, English Language Arts, and Social Studies

    • Provides real-world examples that provoke thoughtful discussions on the ethical considerations and biases inherent in AI

    • Helps teachers to foster critical thinking to ensure that students are well-prepared for the AI-driven future

    • Includes a companion website with access to a wealth of resources such as lesson plans and supplemental materials, templates, and graphic organizers to support AI education in the classroom


    By weaving AI concepts into the educational tapestry, this book serves as a valuable resource for educators, offering practical strategies and insights to cultivate a generation of learners who are not only technologically adept but also critically engaged with the ethical and societal implications of AI.



    AI has transformed education, but since everything is so new, students and teachers are still looking for the best ways to benefit from it. The authors have broken down a complex, rapidly evolving subject and generated a framework for teaching AI literacy to K–12 students. This book provides a foundation for distinguishing science from fiction and for avoiding the pitfalls that come with the recent breakthroughs in AI. 

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    Table of Contents:

    Preface
    Acknowledgments
    Chapter 1 Ethics and Global Perspectives on AI Literacy in Education
    Chapter 2 Pedagogical Framework for AI Literacy
    Chapter 3 Applying Our Pedagogical Framework for AI Literacy
    Chapter 4 Preparing to Integrate AI Literacy into Existing Curriculum
    Chapter 5 AI Literacy in Science Education
    Chapter 6 AI Literacy in Mathematics Education
    Chapter 7 AI Literacy in Language Arts Education
    Chapter 8 AI Literacy in Social Studies Education
    Chapter 9 AI Literacy Assessment Framework
    Epilogue: How Will AI Transform K-12 Learning?
    Glossary
    References
    Index

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