2016
DOI: 10.1016/j.cogdev.2016.05.002
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Developmental foundations of children’s fraction magnitude knowledge

Abstract: The conceptual insight that fractions represent magnitudes is a critical yet daunting step in children’s mathematical development, and the knowledge of fraction magnitudes influences children’s later mathematics learning including algebra. In this study, longitudinal data were analyzed to identify the mathematical knowledge and domain-general competencies that predicted 8th and 9th graders’ (n=122) knowledge of fraction magnitudes and its cross-grade gains. Performance on the fraction magnitude measures predic… Show more

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Cited by 25 publications
(18 citation statements)
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“…Since alternative models are composed by the systematic inclusion of some variables and the exclusion of others, the Bayes factor also provides a measure of the relative explanatory power lost or gained by removing or adding specific variables (Rouder & Morey, 2012). Thus, computing and comparing the Bayes factor between many different alternative models can also be uniquely informative as to the relative importance of the variables uniquely contributing to the model (Moore, vanMarle, Geary, 2016;Mou et al, 2016;Rouder & Morey, 2012). Therefore, compared to traditional model identification and comparison methods (e.g., stepwise regression analysis), the Bayes factor approach provides a convenient option to both identify the best combination of variables that uniquely explain individual differences in early number knowledge and quantify their relative importance.…”
Section: Current Studymentioning
confidence: 99%
“…Since alternative models are composed by the systematic inclusion of some variables and the exclusion of others, the Bayes factor also provides a measure of the relative explanatory power lost or gained by removing or adding specific variables (Rouder & Morey, 2012). Thus, computing and comparing the Bayes factor between many different alternative models can also be uniquely informative as to the relative importance of the variables uniquely contributing to the model (Moore, vanMarle, Geary, 2016;Mou et al, 2016;Rouder & Morey, 2012). Therefore, compared to traditional model identification and comparison methods (e.g., stepwise regression analysis), the Bayes factor approach provides a convenient option to both identify the best combination of variables that uniquely explain individual differences in early number knowledge and quantify their relative importance.…”
Section: Current Studymentioning
confidence: 99%
“…Por un lado, una dimensión que depende fuertemente de la experiencia y del aprendizaje cultural (inteligencia cristalizada) y, por otro, un componente vinculado a la resolución de problemas, que no depende de la experiencia cultural previa y está asociado a la capacidad de razonamiento abstracto (inteligencia fluida) (Cattell, 1943). Algunos de los estudios evaluaron ambas dimensiones de la inteligencia y, en función de estas, estimaron un cociente intelectual (CI) como un indicador general de la capacidad de inteligencia (Hecht y Vagi, 2010;Mou et al, 2016). Por el contrario, otros consideraron únicamente el desempeño en la dimensión fluida de la inteligencia (Jordan et al, 2013;Vukovic et al, 2014).…”
Section: Inteligenciaunclassified
“…Las investigaciones revisadas coinciden, en general, con respecto a que la atención explica el conocimiento conceptual y procedimental de las fracciones en diferentes años escolares (e.g., Hansen et al, 2015;Hetch y Vagi, 2010;Jordan et al, 2013;Resnick et al, 2016;Rinne et al, 2017; para resultados distintos en relación con el conocimiento conceptual en 4.º año ver Namkung y Fuchs, 2016, y en 8.º y 9.º año, Mou et al, 2016). El valor predictor de este proceso se observó en investigaciones con modelos de análisis multivariados que -además de la atención-consideraban el efecto del ejecutivo central (Hansen et al, 2015;Hecht y Vagi, 2010;Jordan et al, 2013;Namkung y Fuchs, 2015;Rinne et al, 2017), la inteligencia fluida (Jordan et al, 2013;Namkung y Fuchs, 2015;Rinne et al, 2017), el lenguaje (Jordan et al, 2013;Namkung y Fuchs, 2015;Rinne et al, 2017), la inhibición (Namkung y Fuchs, 2015), el conocimiento de los números naturales y la capacidad de cálculo con ellos (Hansen et al, 2015;Hecht y Vagi, 2010;Jordan et al, 2013;Namkung y Fuchs, 2015;Resnick et al, 2016;Rinne et al, 2017).…”
Section: Atención Y Conocimiento De Fraccionesunclassified
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