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Author: Andee Rubin
Publisher:
ISBN: 9780201434354
Category : Mathematics
Languages : en
Pages : 200
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Book Description
Author: Andee Rubin
Publisher:
ISBN: 9780201434354
Category : Mathematics
Languages : en
Pages : 200
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Book Description
Author: Babette Moeller
Publisher: Corwin Press
ISBN: 1412995213
Category : Education
Languages : en
Pages : 241
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Book Description
"A joint publication with Educational Development Center and Bank Street College of Education."
Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 1240
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Book Description
Author: Andee Rubin
Publisher: Dale Seymour Publications
ISBN: 9780866519946
Category : Education
Languages : en
Pages : 164
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Book Description
Emphasis on mathematical thinking and teaching strategies on data analysis.
Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 108
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Book Description
Author: Dani Ben-Zvi
Publisher: Springer Science & Business Media
ISBN: 1402022786
Category : Mathematics
Languages : en
Pages : 423
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Book Description
Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics educators, statisticians, cognitive psychologists, mathematics teachers, mathematics and statistics curriculum developers, and quantitative literacy experts in education and government.
Author: Brendan Wenzel
Publisher: Chronicle Books
ISBN: 1452154600
Category : Juvenile Fiction
Languages : en
Pages : 45
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Book Description
They All Saw A Cat — New York Times bestseller and 2017 Caldecott Medal and Honor Book The cat walked through the world, with its whiskers, ears, and paws . . . In this glorious celebration of observation, curiosity, and imagination, Brendan Wenzel shows us the many lives of one cat, and how perspective shapes what we see. When you see a cat, what do you see? If you and your child liked The Girl Who Drank the Moon, Finding Winnie, and Radiant Child — you'll love They All Saw A Cat "An ingenious idea, gorgeously realized." —Shelf Awareness, starred review "Both simple and ingenious in concept, Wenzel's book feels like a game changer." —The Huffington Post
Author: Joan Akers
Publisher:
ISBN: 9780201434255
Category : Arithmetic
Languages : en
Pages : 230
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Book Description
Author: Jane M. Watson
Publisher: Routledge
ISBN: 1136501088
Category : Education
Languages : en
Pages : 322
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Book Description
This book reveals the development of students' understanding of statistical literacy. It provides a way to "see" student thinking and gives readers a deeper sense of how students think about important statistical topics. Intended as a complement to curriculum documents and textbook series, it is consistent with the current principles and standards of the National Council of Teachers of Mathematics. The term "statistical literacy" is used to emphasize that the purpose of the school curriculum should not be to turn out statisticians but to prepare statistically literate school graduates who are prepared to participate in social decision making. Based on ten years of research--with reference to other significant research as appropriate--the book looks at students' thinking in relation to tasks based on sampling, graphical representations, averages, chance, beginning inference, and variation, which are essential to later work in formal statistics. For those students who do not proceed to formal study, as well as those who do, these concepts provide a basis for decision making or questioning when presented with claims based on data in societal settings. Statistical Literacy at School: Growth and Goals: *establishes an overall framework for statistical literacy in terms of both the links to specific school curricula and the wider appreciation of contexts within which chance and data-handling ideas are applied; *demonstrates, within this framework, that there are many connections among specific ideas and constructs; *provides tasks, adaptable for classroom or assessment use, that are appropriate for the goals of statistical literacy; *presents extensive examples of student performance on the tasks, illustrating hierarchies of achievement, to assist in monitoring gains and meeting the goals of statistical literacy; and *includes a summary of analysis of survey data that suggests a developmental hierarchy for students over the years of schooling with respect to the goal of statistical literacy. Statistical Literacy at School: Growth and Goals is directed to researchers, curriculum developers, professionals, and students in mathematics education as well those across the curriculum who are interested in students' cognitive development within the field; to teachers who want to focus on the concepts involved in statistical literacy without the use of formal statistical techniques; and to statisticians who are interested in the development of student understanding before students are exposed to the formal study of statistics.
Author:
Publisher: BRILL
ISBN: 9004396446
Category : Education
Languages : en
Pages : 255
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Book Description
The relationship between research and practice has long been an area of interest for researchers, policy makers, and practitioners alike. One obvious arena where mathematics education research can contribute to practice is the design and implementation of school mathematics curricula. This observation holds whether we are talking about curriculum as a set of broad, measurable competencies (i.e., standards) or as a comprehensive set of resources for teaching and learning mathematics. Impacting practice in this way requires fine-grained research that is focused on individual student learning trajectories and intimate analyses of classroom pedagogical practices as well as large-scale research that explores how student populations typically engage with the big ideas of mathematics over time. Both types of research provide an empirical basis for identifying what aspects of mathematics are important and how they develop over time. This book has its origins in independent but parallel work in Australia and the United States over the last 10 to 15 years. It was prompted by a research seminar at the 2017 PME Conference in Singapore that brought the contributors to this volume together to consider the development and use of evidence-based learning progressions/trajectories in mathematics education, their basis in theory, their focus and scale, and the methods used to identify and validate them. In this volume they elaborate on their work to consider what is meant by learning progressions/trajectories and explore a range of issues associated with their development, implementation, evaluation, and on-going review. Implications for curriculum design and future research in this field are also considered. Contributors are: Michael Askew, Tasos Barkatsas, Michael Belcher, Rosemary Callingham, Doug Clements, Jere Confrey, Lorraine Day, Margaret Hennessey, Marj Horne, Alan Maloney, William McGowan, Greg Oates, Claudia Orellana, Julie Sarama, Rebecca Seah, Meetal Shah, Dianne Siemon, Max Stephens, Ron Tzur, and Jane Watson.
