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Books on the topic 'Numerical competence'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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1

1949-, Boysen Sarah Till, and Capaldi E. John, eds. The Development of numerical competence: Animal and human models. L. Erlbaum Associates, 1993.

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2

Boysen, Sarah T., E. John Capaldi, E. John Capaldi, Sarah T. Boysen, and E. John Capaldi, eds. The Development of Numerical Competence. Psychology Press, 2014. http://dx.doi.org/10.4324/9781315807393.

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3

Capaldi, E. John, and Sarah T. Boysen. Development of Numerical Competence: Animal and Human Models. Taylor & Francis Group, 2014.

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4

Capaldi, E. John, Sarah T. Boysen, and Sarah T. Boysen. Development of Numerical Competence: Animal and Human Models. Taylor & Francis Group, 2014.

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5

Capaldi, E. John, and Sarah T. Boysen. Development of Numerical Competence: Animal and Human Models. Taylor & Francis Group, 2014.

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6

Capaldi, E. John, and Sarah T. Boysen. Development of Numerical Competence: Animal and Human Models. Taylor & Francis Group, 2014.

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7

Nieder, Andreas. Neuronal Correlates of Non-verbal Numerical Competence in Primates. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.027.

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Non-verbal numerical competence, such as the estimation of set size, is rooted in biological primitives that can also be explored in animals. Over the past years, the anatomical substrates and neuronal mechanisms of numerical cognition in primates have been unravelled down to the level of single neurons. Studies with behaviourally-trained monkeys have identified a parietofrontal network of individual neurons selectively tuned to the number of items (cardinal aspect) or the rank of items in a sequence (ordinal aspect). The properties of these neurons’ numerosity tuning curves can explain fundam
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8

Van Herwegen, Jo, and Annette Karmiloff-Smith. Genetic Developmental Disorders and Numerical Competence across the Lifespan. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.031.

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Due to their frequent uneven cognitive profiles, genetic developmental disorders allow researchers to investigate which numerical sub-system of those present in typically developing infants best predicts subsequent numerical abilities. More importantly, they can provide evidence of which other cognitive abilities outside number are necessary for the successful development of these numerical sub-systems. We discuss evidence from cross-syndrome comparisons of adults, adolescents, children, and infants with Williams syndrome and those with Down syndrome to show that the approximate magnitude sub-
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9

(Editor), Sarah T. Boysen, and E. John Capaldi (Editor), eds. The Development of Numerical Competence: Animal and Human Models (Comparative Cognition and Neuroscience). Lawrence Erlbaum, 1992.

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10

Capaldi, E. John. The Development of Numerical Competence: Animal and Human Models (Comparative Cognition and Neuroscience). Lawrence Erlbaum, 1992.

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11

Wittum, Gabriel, Wolfgang E. Nagel, Christian Bischof, and Heinz-Gerd Hegering. Competence in High Performance Computing 2010: Proceedings of an International Conference on Competence in High Performance Computing, June 2010, Schloss Schwetzingen, Germany. Springer Berlin / Heidelberg, 2014.

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12

Competence in High Performance Computing 2010: Proceedings of an International Conference on Competence in High Performance Computing, June 2010, Schloss Schwetzingen, Germany. Springer, 2012.

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13

Kaufmann, Liane, Karin Kucian, and Michael von Aster. Development of the numerical brain. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.008.

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This article focuses on typical trajectories of numerical cognition from infancy all the way through to adulthood (please note that atypical pathways of numerical cognition will be dealt in‘Brain Correlates of Numerical Disabilities’). Despite the fact that developmental imaging studies are still scarce to date there is converging evidence that (1) neural signatures of non-verbal number processing may be observed already in infants; and (2) developmental changes in neural responsivity are characterized by increasing functional specialization of number-relevant frontoparietal brain regions. It
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14

Beran, Michael J., Bonnie M. Perdue, and Theodore A. Evans. Monkey Mathematical Abilities. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.025.

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Monkeys are mathematicians, albeit imprecise ones. Comparative research has illustrated that monkeys use quantitative and numerical information, and this chapter outlines many of those findings. We begin with an historical summary of work with primates in assessing the role that number plays in these animals’ lives. We then focus on the question of whether primates can count and can use symbols to represent numerical information. Evidence for counting is limited, but they can make judgments of ordered magnitudes, and they can learn to associate symbols with various quantities and numbers of it
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15

Holloway, Ian D., and Daniel Ansari. Numerical Symbols. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.56.

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Human culture is founded upon an understanding of mathematics. Mathematics, in turn, is built upon a basic competency for abstracting and symbolizing numerical information. Although cognitive science has made great strides in the characterization of human knowledge, the understanding and use of numerical symbols remains largely unexplored. In this chapter we synthesize the current scientific understanding of numerical symbol processing using a synthesis of behavioral and neuroscientific findings. In particular, the chapter focuses on two interrelated topics: the processing of the semantics of
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16

Jordan, Nancy C., Lynn S. Fuchs, and Nancy Dyson. Early Number Competencies and Mathematical Learning. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.010.

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Early number competencies predict later mathematical learning. Weaknesses in number, number relations, and number operations can be reliably identified before school entry in first grade. Income status, associated early home and preschool opportunities, and general cognitive capacity all influence children’s level of numerical knowledge. Interventions based on a developmental progression and targeted to specific areas of number, such as the ability to count and sequence numbers, compare numerical quantities, and add and subtract small quantities, have shown positive, meaningful, and lasting ef
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17

Vachharajani, Tushar J., Richard K. S. Phoon, and David C. H. Harris. A global curriculum for training the next generation of nephrologists. Edited by Neil Turner. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0365_update_001.

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A nephrologist should have the generic skills of a consultant general physician, plus theoretical knowledge, and skills in nephrology. Moving on from a purely apprenticeship model, in the last 40 years several countries have listed the desirable knowledge and skills content for a specialist nephrologist in their jurisdiction. Some of these lists are exhaustive. Assessments of competence often include a written test of knowledge, and workplace based assessment or reports on specific skills or overall performance. We list some of the common generic headings used to define these areas of competen
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18

Zamarian, L., and Margarete Delazer. Arithmetic Learning in Adults. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.007.

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Neuroimaging has significantly contributed to our understanding of human learning by tracking the neural correlates underlying the acquisition of new expertise. Studies using functional magnetic resonance imaging (fMRI) suggest that the acquisition of arithmetic competence is reflected in a decrease of activation in frontal brain regions and a relative increase of activation in parietal brain regions that are important for arithmetic processing. Activation of the angular gyrus (AG) is related to fact learning, skilled retrieval, and level of automatization. fMRI investigations extend the findi
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19

Goldman, Lawrence. Victorians and Numbers. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847744.001.0001.

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This book examines the influence of statistics on Victorian society and culture, from the methods of natural science and the struggle against disease, to the development of social administration and conflicts between social classes. A defining feature of nineteenth-century Britain was its fascination with numbers. The processes that made Victorian society, including the growth of population and industry and the increasing competence of the state, generated profuse numerical data. Numbers were gathered in the 1830s by newly-created statistical societies in response to this ‘data revolution’. Th
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20

Peters, Ellen. Innumeracy in the Wild. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190861094.001.0001.

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Innumeracy in the Wild explains how numeric ability supports the quality of the decisions we make and, ultimately, the life outcomes we experience. It dissects three ways that people can be good or bad with numbers and how each of these numeric competencies matter to decision making. Furthermore, it delves into how we can use this knowledge to improve decision making. Understanding the roles of numeric ability (often called numeracy) is particularly important today due to widespread innumeracy. In addition, policies in health and financial domains have shifted toward giving consumers and patie
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21

Bosk, Charles L. Forgive and Remember: Managing Medical Failure, 2nd Edition. University Of Chicago Press, 2003.

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