Deaf children's informal knowledge of multiplicative reasoning.

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Title: Deaf children's informal knowledge of multiplicative reasoning.
Authors: Nunes T (AUTHOR), Bryant P (AUTHOR), Burman D (AUTHOR), Bell D (AUTHOR), Evans D (AUTHOR), Hallett D (AUTHOR)
Source: Journal of Deaf Studies & Deaf Education. Spring2009, Vol. 14 Issue 2, p260-277. 18p.
Abstract: Multiplicative reasoning is required in different contexts in mathematics: it is necessary to understand the concept of multipart units, involved in learning place value and measurement, and also to solve multiplication and division problems. Measures of hearing children's multiplicative reasoning at school entry are reliable and specific predictors of their mathematics achievement in school. An analysis of deaf children's informal multiplicative reasoning showed that deaf children under-perform in comparison to the hearing cohorts in their first two years of school. However, a brief training study, which significantly improved their success on these problems, suggested that this may be a performance, rather than a competence difference. Thus, it is possible and desirable to promote deaf children's multiplicative reasoning when they start school so that they are provided with a more solid basis for learning mathematics. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Deaf Studies & Deaf Education is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Deaf children's informal knowledge of multiplicative reasoning.
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  Data: <searchLink fieldCode="AR" term="%22Nunes+T%22">Nunes T</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bryant+P%22">Bryant P</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burman+D%22">Burman D</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bell+D%22">Bell D</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Evans+D%22">Evans D</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hallett+D%22">Hallett D</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Deaf+Studies+%26+Deaf+Education%22">Journal of Deaf Studies & Deaf Education</searchLink>. Spring2009, Vol. 14 Issue 2, p260-277. 18p.
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  Label: Abstract
  Group: Ab
  Data: Multiplicative reasoning is required in different contexts in mathematics: it is necessary to understand the concept of multipart units, involved in learning place value and measurement, and also to solve multiplication and division problems. Measures of hearing children's multiplicative reasoning at school entry are reliable and specific predictors of their mathematics achievement in school. An analysis of deaf children's informal multiplicative reasoning showed that deaf children under-perform in comparison to the hearing cohorts in their first two years of school. However, a brief training study, which significantly improved their success on these problems, suggested that this may be a performance, rather than a competence difference. Thus, it is possible and desirable to promote deaf children's multiplicative reasoning when they start school so that they are provided with a more solid basis for learning mathematics. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Deaf Studies & Deaf Education is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Spring2009
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