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Early predictors of middle school fraction knowledge

TLDR
Analysis of longitudinal data indicated that whole number magnitude knowledge in first grade predicted knowledge of fraction magnitudes in middle school, controlling for whole number arithmetic proficiency, domain general cognitive abilities, parental income and education, race, and gender.
Abstract
Recent findings that earlier fraction knowledge predicts later mathematics achievement raise the question of what predicts later fraction knowledge. Analyses of longitudinal data indicated that whole number magnitude knowledge in first grade predicted knowledge of fraction magnitudes in middle school, controlling for whole number arithmetic proficiency, domain general cognitive abilities, parental income and education, race, and gender. Similarly, knowledge of whole number arithmetic in first grade predicted knowledge of fraction arithmetic in middle school, controlling for whole number magnitude knowledge in first grade and the other control variables. In contrast, neither type of early whole number knowledge uniquely predicted middle school reading achievement. We discuss the implications of these findings for theories of numerical development and for improving mathematics learning.

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Journal ArticleDOI

미국 Common Core State Standards for Mathematics 소개

TL;DR: The Common Core State Standards for mathematics which was released on June 2, 2010 in the U.S.A. are aligned with college and work expectations, and include rigorous content and application of knowledge through high-order skills.
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What’s Past Is Prologue: Relations Between Early Mathematics Knowledge and High School Achievement

TL;DR: It is found that preschool mathematics ability predicts mathematics achievement through age 15, even after accounting for early reading, cognitive skills, and family and child characteristics.
Journal ArticleDOI

Which Preschool Mathematics Competencies Are Most Predictive of Fifth Grade Achievement

TL;DR: Using regression analyses, this study finds early numeracy abilities to be the strongest predictors of later mathematics achievement, with advanced counting competencies more predictive than basic counting competency.
Journal ArticleDOI

An Integrative Theory of Numerical Development

TL;DR: The integrative theory of numerical development as discussed by the authors posits that a coherent theme does exist, and that this theme unifies numerical development from infancy to adulthood, and thus the mental number line expands rightward to encompass larger whole numbers, leftward to include negatives, and interstitially to include fractions and decimals.
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Why is learning fraction and decimal arithmetic so difficult

TL;DR: This review identifies and discusses two types of difficulties: inherent difficulties of fraction and decimal arithmetic and culturally contingent difficulties that could be reduced by improved instruction and prior knowledge of learners.
References
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Book

Handbook of Child Psychology

William Damon
TL;DR: In this article, the authors discuss the importance of biology for human development and the role of the human brain in the development of human cognition and behavior, and propose a model of human development based on the Bioecological Model of Human Development.
Journal ArticleDOI

School Readiness and Later Achievement

TL;DR: A meta-analysis of the results shows that early math skills have the greatest predictive power, followed by reading and then attention skills, while measures of socioemotional behaviors were generally insignificant predictors of later academic performance.
Book

The Atomic Components of Thought

TL;DR: The preface to the book describes how C.R. Anderson's Cognitive Arithmetic transformed into Knowledge Representation and how M. Lovett's choice changed the way that people viewed the world around them.
Journal ArticleDOI

mediation: R Package for Causal Mediation Analysis

TL;DR: The mediation package implements a comprehensive suite of statistical tools for conducting causal mediation analysis in applied empirical research and implements a statistical method for dealing with multiple (causally dependent) mediators, which are often encountered in practice.
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