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.

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.

Provides a comprehensive, reader-friendly introduction to literacy teaching and learning, exploring both theoretical underpinnings and practical strategies.

This handbook establishes current and consistent terms, definitions, and classification codes to maintain, collect, report, and exchange comparable information about students. The handbook is useful to public and private agencies and educational institutions, researchers, policy makers, and members of the public interested in student data. The definitions are consistent with current state and local practice, national standards movements, and federal reporting requirements as a consensus of what is considered "best practice" in data collection. The Handbook includes these chapters: (1) "Introduction"; (2) "The Handbook"; (3) "Building a Student Record System"; (4) "Data Elements and Definitions"; and (5) "Applications of the Handbook." Twelve appendixes present comprehensive lists of coding options, code designations, and the names of contributors to this edition. (SLD)

The Datafication of Primary and Early Years Education explores and critically analyses the growing dominance of data in schools and early childhood education settings. Recognising the shift in practice and priorities towards the production and analysis of attainment data that are compared locally, nationally and internationally, this important book explores the role and impact of digital data in the ‘data-obsessed’ school. Through insightful case studies the book critiques policy priorities which facilitate and demand the use of attainment data, within a neoliberal education system which is already heavily focused on assessment and accountability. Using an approach influenced by policy sociology and post-foundational frameworks, the book considers how data are productive of data-driven teacher and child subjectivities. The text explores how data have become an important part of making teachers’ work visible within systems which are both disciplinary and controlling, while often reducing the complexity of children’s learning to single numbers. Key ideas covered include: The impact of data on the individual teacher and their pedagogical practice, particularly in play-based early years classrooms The problems of collecting data through assessment of young children How schools respond to increased pressure to produce the ‘right’ data – or how they ‘play with numbers’ How data affect children and teachers’ identities International governance and data comparison, including international comparison of young children’s attainment Private sector involvement in data processing and analysis The Datafication of Primary and Early Years Education offers a unique insight into the links between data, policy and practice and is a crucial read for all interested in the ways in which data are affecting teachers, practitioners and children.

The Datafication of Primary and Early Years Education explores and critically analyses the growing dominance of data in schools and early childhood education settings. Recognising the shift in practice and priorities towards the production and analysis of attainment data that are compared locally, nationally and internationally, this important book explores the role and impact of digital data in the ‘data-obsessed’ school. Through insightful case studies the book critiques policy priorities which facilitate and demand the use of attainment data, within a neoliberal education system which is already heavily focused on assessment and accountability. Using an approach influenced by policy sociology and post-foundational frameworks, the book considers how data are productive of data-driven teacher and child subjectivities. The text explores how data have become an important part of making teachers’ work visible within systems which are both disciplinary and controlling, while often reducing the complexity of children’s learning to single numbers. Key ideas covered include: The impact of data on the individual teacher and their pedagogical practice, particularly in play-based early years classrooms The problems of collecting data through assessment of young children How schools respond to increased pressure to produce the ‘right’ data – or how they ‘play with numbers’ How data affect children and teachers’ identities International governance and data comparison, including international comparison of young children’s attainment Private sector involvement in data processing and analysis The Datafication of Primary and Early Years Education offers a unique insight into the links between data, policy and practice and is a crucial read for all interested in the ways in which data are affecting teachers, practitioners and children.

Early childhood is a crucial stage in a child’s life, and aspects of the environment in the physical, social-emotional, cognitive, and health and safety domains all play important roles in shaping children’s development during these early years. Having a valid and reliable measure of the quality of these aspects of children’s care settings is critical. The Early Childhood Environment Rating Scale (ECERS-3) is the leading research-based instrument for examining these influential global factors that directly impact children in early childhood environments. In this new guide, readers will find an in-depth description of both the conceptual model underlying the ECERS-3 and innovative ways of analyzing data for a fuller understanding of what can be done with the scale and why it is integral to the evaluation of early care and education. The authors analyze a large database of classroom observations to help ECERS-3 users better understand, interpret, and utilize their own findings. Readers will also see how components of their ECERS-3 data relate to one another, within and across subscales, and within the scale as a whole. A Guide to Analyzing and Interpreting ECERS-3 Data will assist program directors, agency administrators, preK–K teaching coaches/mentors, school principals, researchers, and others who use the ECERS-3 to more successfully document, interpret, and analyze the quality of essential influential factors in an early learning setting. This resource will help guide program improvement initiatives with insight into what is needed for children’s development and learning. Book Features: Provides a framework for thinking about how early childhood care and education learning environments fit into the larger picture of influences on children’s development.Presents a theory of change that combines understanding how children learn and develop with how early education and care affect long-term outcomes.Analyzes what ECERS-3 data looks like for a large sample of classrooms and by different child and teacher characteristics.