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Teaching AI Literacy Across the Curriculum - Book Cover

Teaching AI Literacy Across the Curriculum

A K-12 Handbook

This book 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.

Full description

Teaching AI Literacy Across the Curriculum - Book Cover
Product Details
  • Grade Level: K-12
  • ISBN: 9781071964712
  • Published By: Corwin
  • Year: 2025
  • Page Count: 264
  • Publication date: July 29, 2025
Price: $39.95

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Description

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.

Author(s)

Author(s)

Irina Lyublinskaya photo

Irina Lyublinskaya
Dr. Irina Lyublinskaya is a professor of mathematics and education at the Teachers College, Columbia University in New York City. She received her Ph.D. in Theoretical and Mathematical Physics from Leningrad State University in 1991. She has over 30 years of teaching and research experience in STEM education. Among her research interests are topics of integrating technology into mathematics and science education, pre-service and in-service professional development of STEM teachers, curriculum development, and international STEM education. She is a recipient of various awards for teaching excellence, including Radioshack/Tandy Prize for Teaching Excellence in Mathematics, Science, and Computer Science, NSTA Distinguished Science Teaching Award and citation, Education’s Unsung Heroes Award for innovation in the classroom, and NSTA Vernier Technology Award. In 2011, she was inducted to NYS Mathematics Educators Hall of Fame. In 2019 she was elected as a full member of the Russian Academy of Natural Sciences. She is also a recipient of several outstanding paper awards from AACE and SITE.
Xiaoxue Du photo

Xiaoxue Du
Dr. Xiaoxue Du is the Senior Director of AI Strategy and Operations at the University of Chicago, with a track record of leading digital transformations and driving strategic initiatives across industries. With a deep commitment to advancing AI literacy, she has developed curricula and resources to help K-12 educators integrate AI concepts into classrooms in engaging and responsible ways. Her work spans AI-enriched learning experiences, game-based AI education, and ethical AI adoption in schools. Previously, she collaborated with the MIT Media Lab on research and teaching in AI literacy and human-AI interaction and worked with a top consulting firm, where she specialized in AI strategy, digital transformation, and operational excellence. Dr. Du actively writes and teaches about human-AI interaction, focusing on preparing the next generation of learners and educators to navigate an AI-driven world. She holds a doctorate from Teachers College, Columbia University, where she conducted mixed-methods research to study complex socio-technical systems.
Table of Contents

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

Price: $39.95

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