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Ye Xie; Hyesang Chang; Yi Zhang; Chunjie Wang; Yuan Zhang; Lang Chen; Fengji Geng; Yixuan Ku; Vinod Menon; Feiyan Chen – Developmental Science, 2024
Abacus-based mental calculation (AMC) is a widely used educational tool for enhancing math learning, offering an accessible and cost-effective method for classroom implementation. Despite its universal appeal, the neurocognitive mechanisms that drive the efficacy of AMC training remain poorly understood. Notably, although abacus training relies…
Descriptors: Elementary School Students, Grade 2, Brain Hemisphere Functions, Predictor Variables
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Wilkey, Eric D.; Shanley, Lina; Sabb, Fred; Ansari, Daniel; Cohen, Jason C.; Men, Virany; Heller, Nicole A.; Clarke, Ben – Developmental Science, 2022
Children's ability to discriminate nonsymbolic number (e.g., the number of items in a set) is a commonly studied predictor of later math skills. Number discrimination improves throughout development, but what drives this improvement is unclear. Competing theories suggest that it may be due to a sharpening numerical representation or an improved…
Descriptors: Numbers, Mathematics Skills, Predictor Variables, Number Concepts
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Barnes, Sophie P.; Jones, Stephanie M.; Bailey, Rebecca – Developmental Science, 2023
For many years, researchers studied executive functions (EFs) in the laboratory with a focus on understanding an individual child's development and brain processes in a controlled environment. Building on this foundational research, there is a growing interest in EFs in the context of a child's dynamic, social world, and the contextual and…
Descriptors: Executive Function, Child Development, Young Children, Kindergarten
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Muñez, David; Bull, Rebecca; Lee, Kerry – Developmental Science, 2022
In this study (n = 1000, M[subscript age at K1entry] = 53.4 months, SD = 3.4; 53% females), we investigated the contributions of the family socioeconomic status (SES; maternal education and an income-related measure) and number and age of siblings to the development of children's math, reading, and working memory (WM) updating skills over the…
Descriptors: Mothers, Parent Education, Siblings, Cognitive Development
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Koepp, Andrew E.; Gershoff, Elizabeth T. – Developmental Science, 2022
This paper used a nationally representative sample of children from the United States to examine the extent to which physical activity and sports participation may promote growth in children's executive functions (EFs), attention, and social self-control over time. Using data from the ECLS-K:2011 (N = 18,174), findings indicated that regular…
Descriptors: Physical Activity Level, Executive Function, Self Control, Team Sports
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Slusser, Emily; Ribner, Andrew; Shusterman, Anna – Developmental Science, 2019
Children's early math skills have been hailed as a powerful predictor of academic success. Disparities in socioeconomic context, however, also have dramatic consequences on children's learning. It is therefore critical to investigate both of these distinct contributors in order to better understand the early foundations of children's academic…
Descriptors: Mathematics Skills, Predictor Variables, Socioeconomic Status, Vocabulary
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Caviola, Sara; Colling, Lincoln J.; Mammarella, Irene C.; Szucs, Dénes – Developmental Science, 2020
We determined the relative importance of the so-called approximate number system (ANS), symbolic number comparison (SNC) and verbal and spatial short-term and working memory (WM) capacity for mathematics achievement in 1,254 Grade 2, 4 and 6 children. The large sample size assured high power and low false report probability and allowed us to…
Descriptors: Elementary School Students, Number Systems, Short Term Memory, Mathematics Achievement
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Xenidou-Dervou, Iro; Van Luit, Johannes E. H.; Kroesbergen, Evelyn H.; Friso-van den Bos, Ilona; Jonkman, Lisa M.; van der Schoot, Menno; van Lieshout, Ernest C. D. M. – Developmental Science, 2018
Research has identified various domain-general and domain-specific cognitive abilities as predictors of children's individual differences in mathematics achievement. However, research into the predictors of children's individual growth rates, namely between-person differences in within-person change in mathematics achievement is scarce. We…
Descriptors: Predictor Variables, Structural Equation Models, Cognitive Ability, Mathematics Instruction
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Szucs, Dénes; Devine, Amy; Soltesz, Fruzsina; Nobes, Alison; Gabriel, Florence – Developmental Science, 2014
We determined how various cognitive abilities, including several measures of a proposed domain-specific number sense, relate to mathematical competence in nearly 100 9-year-old children with normal reading skill. Results are consistent with an extended number processing network and suggest that important processing nodes of this network are…
Descriptors: Cognitive Ability, Children, Numeracy, Short Term Memory
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Lyons, Ian M.; Price, Gavin R.; Vaessen, Anniek; Blomert, Leo; Ansari, Daniel – Developmental Science, 2014
Math relies on mastery and integration of a wide range of simpler numerical processes and concepts. Recent work has identified several numerical competencies that predict variation in math ability. We examined the unique relations between eight basic numerical skills and early arithmetic ability in a large sample (N = 1391) of children across…
Descriptors: Predictor Variables, Elementary School Students, Grade 1, Grade 2
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Raver, C. Cybele; McCoy, Dana Charles; Lowenstein, Amy E.; Pess, Rachel – Developmental Science, 2013
The present longitudinal study tested the roles of early childhood executive control (EC) as well as exposure to poverty-related adversity at family and school levels as key predictors of low-income children's EC in elementary school ("n" = 391). Findings suggest that children's EC difficulties in preschool and lower family income from…
Descriptors: Individual Differences, Executive Function, Low Income Groups, Poverty
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Bailey, Drew H.; Siegler, Robert S.; Geary, David C. – Developmental Science, 2014
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…
Descriptors: Predictor Variables, Middle School Students, Mathematical Concepts, Mathematics Instruction