Springer Statistics in Early Childhood and Primary Education: Supporting Early Statistical and Probabilistic Thinking (Early Mathematics Learning and Development)

This compilation focuses on the theory and conceptualisation of statistics and probability in the early years and the development of young children’s (ages 3-10) understanding of data and chance. It provides a comprehensive overview of cutting-edge international research on the development of young learners’ reasoning about data and chance in formal, informal, and non-formal educational contexts. The authors share insights into young children’s statistical and probabilistic reasoning and provide early childhood educators and researchers with a wealth of illustrative examples, suggestions, and practical strategies on how to address the challenges arising from the introduction of statistical and probabilistic concepts in pre-school and school curricula.  This collection will inform practices in research and teaching by providing a detailed account of current best practices, challenges, and issues, and of future trends and directions in early statistical and probabilistic learning worldwide. Further, it will contribute to future research and theory building by addressing theoretical, epistemological, and methodological considerations regarding the design of probability and statistics learning environments for young children. From the Back Cover This compilation focuses on the theory and conceptualisation of statistics and probability in the early years and the development of young children’s (ages 3-10) understanding of data and chance. It provides a comprehensive overview of cutting-edge international research on the development of young learners’ reasoning about data and chance in formal, informal, and non-formal educational contexts. The authors share insights into young children’s statistical and probabilistic reasoning and provide early childhood educators and researchers with a wealth of illustrative examples, suggestions, and practical strategies on how to address the challenges arising from the introduction of statistical and probabilistic concepts in pre-school and school curricula. This collection will inform practices in research and teaching by providing a detailed account of current best practices, challenges, and issues, and of future trends and directions in early statistical and probabilistic learning worldwide. Further, it will contribute to future research and theory building by addressing theoretical, epistemological, and methodological considerations regarding the design of probability and statistics learning environments for young children. About the Author Dr. Aisling Leavy is Head of STEM Education at Mary Immaculate College, University of Limerick. Her research interests include statistical thinking and reasoning, children’s mathematical thinking, and mathematics teacher education. Aisling is currently an Associate Editor of Statistics Education Research Journal and General Editor of Irish Educational Studies. She publishes in international scholarly journals in the areas of statistics education, mathematics education, and prospective teachers’ attitudes towards and knowledge of mathematics and statistics.  Dr. Maria Meletiou-Mavrotheris is a Professor of Mathematics Education at the European University Cyprus, and Director of the Research Laboratory in ICT-Enhanced Education. Her research concentrates on issues related to the teaching and learning of statistics, mathematics, science, and technology education. She has produced numerous publications in scholarly international journals and edited volumes, and has been able to attract considerable funding from national and international sources. Her research record includes the coordination of multiple EU-funded projects, including the Socrates-Comenius project EarlyStatistics: Enhancing the Teaching and Learning of Early Statistical Reasoning in European Schools. Dr. Efi Paparistodemou is a teacher educator at Cyprus Pedagogical Institute. She holds degrees in Education, Mathematics and