Child-Friendly Computer Science: Fostering Computational Thinking, Engineering Thinking, and AI Literacy - Hardcover

Yang, Weipeng

 
9781350518780: Child-Friendly Computer Science: Fostering Computational Thinking, Engineering Thinking, and AI Literacy

Synopsis

This book offers new insights and critical perspectives on the integration of computational thinking, engineering design process, and AI literacy into early childhood education. The authors draw on research from around the world in early childhood education and computer science education (CSE) to explore the possibilities, benefits and challenges of incorporating emerging technologies into the formal and informal learning settings for young children aged 3-8 years. They offer strategies and research insights for designing and implementing curricula, selecting appropriate tools, and engaging families, drawing upon a wide range of research and pedagogical approaches. With a strong emphasis on equity and inclusion the authors suggest developmentally appropriate CSE activities to develop skills like literacy, maths and problem-solving, while adhering to appropriate screen time guidelines. It is written for researchers, policy-makers and educators interested in advancing the field of early childhood education and empowering young children in the rapidly evolving digital society.

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About the Authors

Weipeng Yang, Ph.D., is currently an Associate Professor in the Department of Early Childhood Education at The Education University of Hong Kong (EdUHK), and serves as the Associate Director of the AI, Brain and Child Research Centre (ABC-RC). He has been listed among the top 2% most-cited scientists worldwide in the career-long impact list released by Stanford University. His research focuses on learning design and technology for children.

Jiahong Su obtained her Ph.D. in AI and education from The University of Hong Kong. Her recent research concentrates on the innovative application of AI technologies in educational settings. She has led the development of an AI literacy assessment platform and instructional design support tools for K-12 students and teachers. Her academic contributions have gained international recognition, and she was listed among the top 2% most-cited scientists worldwide in the 2025 single-year impact list released by Stanford University.

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