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.

Some great teachers are born, but most are self-made. And the way to make yourself a great teacher is to learn to think and act like one. In this updated second edition of the best-selling Never Work Harder Than Your Students, Robyn R. Jackson reaffirms that every teacher can become a master teacher. The secret is not a specific strategy or technique, nor it is endless hours of prep time. It's developing a master teacher mindset—rigorously applying seven principles to your teaching until they become your automatic response: Start where you students are. Know where your students are going. Expect to get your students there. Support your students along the way. Use feedback to help you and your students get better. Focus on quality rather than quantity. Never work harder than your students. In her conversational and candid style, Jackson explains the mastery principles and how to start using them to guide planning, instruction, assessment, and classroom management. She answers questions, shares stories from her own practice and work with other teachers, and provides all-new, empowering advice on navigating external evaluation. There's even a self-assessment to help you identify your current levels of mastery and take control of your own practice. Teaching is hard work, and great teaching means doing the right kind of hard work: the kind that pays off. Join tens of thousands of teachers around the world who have embarked on their journeys toward mastery. Discover for yourself the difference that Jackson's principles will make in your classroom and for your students.

As the United States continues to be a nation of immigrants and their children, the nation's school systems face increased enrollments of students whose primary language is not English. With the 2001 reauthorization of the Elementary and Secondary Education Act (ESEA) in the No Child Left Behind Act (NCLB), the allocation of federal funds for programs to assist these students to be proficient in English became formula-based: 80 percent on the basis of the population of children with limited English proficiency1 and 20 percent on the basis of the population of recently immigrated children and youth. Title III of NCLB directs the U.S. Department of Education to allocate funds on the basis of the more accurate of two allowable data sources: the number of students reported to the federal government by each state education agency or data from the American Community Survey (ACS). The department determined that the ACS estimates are more accurate, and since 2005, those data have been basis for the federal distribution of Title III funds. Subsequently, analyses of the two data sources have raised concerns about that decision, especially because the two allowable data sources would allocate quite different amounts to the states. In addition, while shortcomings were noted in the data provided by the states, the ACS estimates were shown to fluctuate between years, causing concern among the states about the unpredictability and unevenness of program funding. In this context, the U.S. Department of Education commissioned the National Research Council to address the accuracy of the estimates from the two data sources and the factors that influence the estimates. The resulting book also considers means of increasing the accuracy of the data sources or alternative data sources that could be used for allocation purposes.