Overview

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 on insights from experts, real-world examples, and best practices, this edited collection explores the ways AI can be integrated into early childhood curricula, highlighting recent research and innovations in the field, and implications for both practice and policy. The book features case studies that support readers in considering ethical dilemmas and societal implications for early childhood educators, while also looking at all the positive outcomes of AI in early childhood contexts, including adaptive learning platforms that cater to each child's unique style, interactive tools that ignite curiosity, and AI-powered assessments that provide timely feedback. Exploring the Potential of Artificial Intelligence in Early Childhood Education: New Learning Experiences for Young Children is an essential resource for any academic, practitioner, preservice teacher, or parent beginning to understand how AI, as an integral part of our daily lives, is now becoming more relevant and useful across the early childhood years.

Full Product Details

9781003863410

Table of Contents

Reviews

""Timely and focused book for a wide range of audiences—from pre- and in-service early childhood teachers to teacher educators to researchers—combines solid educational practice based on theoretical foundations with specific examples of practices that work. Cross-discipline authors demonstrate how AI is a tool relevant for young learners when applied ethically, reasonably, and true to best practice principles in early childhood education."" Sandra Waite-Stupiansky, PhD, Professor Emerita, PennWest University-Edinboro ""Exploring the Potential of Artificial Intelligence in Early Childhood bridges research and practice, offering evidence-based insights into how AI can be introduced to young children in developmentally appropriate ways. With contributions from a diverse group of experts, this book advances the conversation on AI literacy, pedagogy, and innovation in early learning. It is essential reading for educators, researchers, and policymakers seeking to responsibly shape the role of technology in children’s earliest educational experiences!"" Amanda Sullivan, Author, STEM & EdTech Researcher, National Girls Collaborative Project ""I’ve seen firsthand how even our youngest students can question, create, and lead with AI. What I appreciate about this book is the attention it gives to helping children engage with AI in ways that build curiosity and agency. It offers educators ways to guide children responsibly while keeping creativity and human connection at the center of learning."" Alana Winnick, author of The Generative Age, AI keynote speaker, podcaster, Ed. Tech Director, Founder of Students for Innovation.

Author Information

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.

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