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This groundbreaking text explores the intersection of AI and early childhood education, revealing innovative ways for educators to transform learning experiences for young minds. Drawing from experts, real-world examples, and best practices, this edited collection explores the ways AI can be integrated into early childhood curricula.
Lynn E. Cohen, Ph.D., is a professor in the Department of Teaching and Learning at Long Island University. She received the Newton Award for Excellence in Teaching from Long Island University in 2017. Dr. Cohen is co-editor of Theories of Early Childhood Education: Developmental, Behaviorist, and Critical (Routledge, 2023) and STEM in Early Childhood Education: How Science, Technology, Engineering and Mathematics Strengthen Learning (Routledge, 2017). She is a contributor to numerous national and international journals, and has given papers at over 70 conferences, including keynote addresses. Dr. Cohen serves on several advisory boards and is currently a member of the editorial board of Dialogic Pedagogy Journal: An International Online Journal and the International Early Childhood Research Journal.
PART 1: Introducing Artificial Intelligence in Early Childhood 1. Bringing AI into Early Childhood - Challenges, Strengths and Activities 2. AI and the Early Childhood Administrator PART 2: Integrating AI into Early Childhood Curriculum 4. The Use of AI Robotic Toys (IoToys) to Support Learning and Play 5. Integrating Generative Artificial Intelligent (GenAI) for Leveraging Early Literacy Instruction: A High-Leverage-Teaching-Practice (HLTP) Approach PART 3: Engaging Early Childhood Students in Playful Hands-On Applications with Artificial Intelligence 7. Using Social Robots to Teach AI to Preschool Children 8. Thinking with KIBO. An Early Childhood Introduction to Artificial Intelligence 9. Teaching Fundamentals of AI Using Bee-bot Floor Robots
