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
Description
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.