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.

The transition from early childhood education to primary school is a big step for all children, and a step which more and more children are having to take. Quality transitions Should be well-prepared and child-centred, managed by trained staff collaborating with one another, and guided by ...

This review of early childhood education and care (ECEC) in twenty OECD countries describes the social, economic, conceptual and research factors that influence early childhood policy.

The present publication documents the achievements and lessons learned from the first phase of the Survey of Teachers in Pre-primary Education (STEPP) project, implemented by UNESCO from 2016 to 2019, with the participation of seven countries, namely, the Dominican Republic, Ghana, Indonesia, Namibia, the Philippines, Togo, and Viet Nam. It is the first international survey for low-and-middle-income countries designed to collect information that is known to affect the quality of pre-primary education from pre-primary teachers and centre heads. The collected information concerns training and professional development, pedagogical and professional practices, working conditions and job satisfaction, and characteristics of pre-primary personnel and the settings in which they work. The survey offers a valuable opportunity for teachers and centre heads to share views about their practice and needs. It seeks to identify strengths and opportunities for improvement as well as commonalities and differences across participating countries, which will inform policy discussions and development of measures on how to strengthen the quality of pre-primary teachers' work. [Abstract]

This edition of the Global Education Monitoring Report (GEM Report) is the first in a series that will assess the progress of education under the new Sustainable Development Goals (SDGs).

This book investigates the unique and dynamic approaches to key issues of changing images of child and childhood, by different countries in the Asia-Pacific. Key concepts considered are re-conceptualizing early childhood education and care, re-eaxming early learning standards and redefining professionalism. The Asia Pacific region includes countries belonging to both the Majority and Minority worlds and which vary widely in terms of their cultural geography, social-cultural beliefs, and levels of development, demographic profiles, political systems and government commitments to early childhood services. An international team of experienced researchers from different countries guarantees diverse perspectives. By examining different countries’ policy choices and evidence-based practices, the authors show how best to provide for young children based on their countries’ strategies.

Examining Levels of Involvement in the Early Years studies the theory and rationale behind using young children’s levels of involvement as a tool for enhancing their experiential learning in diverse settings by exploring values, beliefs, ideology, resourcefulness and environmental contexts. Drawing on Laevers’ process-oriented Self-evaluation Instrument for Care Settings and the Leuven Involvement Scale for Young Children, this book examines the theoretical constructs that underpin the development of these instruments as well as the practical implications of how and why practitioners may use the scales in their settings. More importantly, it looks at children’s deep level learning capabilities and reflects on the engaging possibilities this presents. Using encounters with children and adults from a range of settings, it covers: • connecting levels of involvement with local, national, international and theoretical approaches; • embracing levels of involvement; • involving the environment; • levels of outdoor involvement; • engaging with adult involvement; • nurturing involvement through observation, assessment and planning. Including contributions from experts in the field, this book will be essential reading for students, trainee early years practitioners and all those wanting to continue their professional learning.

COVID-19 has put renewed focus on the importance of addressing longstanding challenges that OECD governments face in delivering public services, especially in regions with people spread over a wider area where economies of scale are more difficult to achieve. The physical infrastructure needed to provide good quality education and health services can be more complex and expensive in rural and remote regions that also struggle to attract and retain education and health care professionals.

This book discusses how Big Data could be implemented in educational settings and research, using empirical data and suggesting both best practices and areas in which to invest future research and development. It also explores: 1) the use of learning analytics to improve learning and teaching; 2) the opportunities and challenges of learning analytics in education. As Big Data becomes a common part of the fabric of our world, education and research are challenged to use this data to improve educational and research systems, and also are tasked with teaching coming generations to deal with Big Data both effectively and ethically. The Big Data era is changing the data landscape for statistical analysis, the ways in which data is captured and presented, and the necessary level of statistical literacy to analyse and interpret data for future decision making. The advent of Big Data accentuates the need to enable citizens to develop statistical skills, thinking and reasoning needed for representing, integrating and exploring complex information. This book offers guidance to researchers who are seeking suitable topics to explore. It presents research into the skills needed by data practitioners (data analysts, data managers, statisticians, and data consumers, academics), and provides insights into the statistical skills, thinking and reasoning needed by educators and researchers in the future to work with Big Data. This book serves as a concise reference for policymakers, who must make critical decisions regarding funding and applications.