"AI isn't just about technology; it's a fascinating blend of many different fields. Think philosophy, psychology, neuroscience, math - they all play a role in shaping how we build intelligent systems. Large language models (LLMs) are already shaking up fields like education, offering incredible potential for personalized learning and creative applications. But with this potential come important questions. How will LLMs impact jobs? What are the ethical considerations we need to address? As AI keeps advancing, it's crucial that we learn to use it wisely and responsibly, ensuring it benefits humanity and creates a more equitable society. And that starts with bringing AI literacy into education"-- Provided by publisher.
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.
Arvustused
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 K12 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 K12 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 *
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
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, Educations 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.
