Teaching AI Literacy Across the Curriculum

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. 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.

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

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. -- Philippos Mordohai * Hoboken, NJ * An accessible entry point into the complex world of AI education, this foundational resource establishes and explains core concepts while inspiring educators to delve deeper into AI literacy across disciplines. It is a valuable launching pad for the further development of AI fluency. -- Sonja Strydom * Stellenbosch, South Africa * This handbook is a valuable resource for educators and educational researchers. It offers practical ways and resources for integrating AI literacy into various subjects, addressing the interdisciplinary nature of AI. This book will show us how to apply AI to transform K-12 learning. It is a must-read for everyone who wants to prepare the future generation for the AI era. -- Thomas Chiu * Ma Liu Shui, Hong Kong * This is a great addition to your resource library. The authors do a tremendous job of laying the foundation for why addressing AI literacy is so vital. They follow it up with some helpful examples of how to do this within existing content that is taught. -- Kevin Dykema * Mattawan, MI * The rapid development of Generative AI has brought us to an inflection in both society and education. This excellent book by Lyublinskaya and Du is a timely, balanced, and incisive resource. It offers highly practical guidance for educators aiming to effectively serve their students and society as we navigate these transformative times. -- Rian Roux * Toowoomba, Queensland, Australia * At a time when artificial intelligence is reshaping every aspect of our lives, this book provides a timely guide for educators. Bridging theory and practice, the authors explain basic AI concepts and offer a framework, practical tools and lesson examples that can be used by educators to develop students' critical AI literacy skills. -- Manolis Mavrikis * London, UK * Teaching AI Literacy Across the Curriculum: A K-12 Handbook is a must-read for educators seeking to integrate AI literacy into their teaching. This comprehensive guide offers a pedagogical framework, practical tools, and over 20 lesson ideas, making AI accessible without needing advanced technical skills. Emphasising ethical and responsible AI use, it equips teachers to foster 21st-century digital literacy across all subjects and grade levels. Highly recommended for K-12 educators. -- Zsolt Lavicza * Linz, Upper Austria, Austria *