Literature DB >> 2348157

A componential analysis of an early learning deficit in mathematics.

D C Geary1.   

Abstract

This study was designed to assess strategy choice and information-processing differences in normal and mathematically disabled first and second grade children. Twenty-three normal and 29 learning disabled (LD) children solved 40 computer-presented simple addition problems. Strategies, and their associated solution times, used in problem solving were recorded on a trial-by-trial basis and each was classified in accordance with the distributions of associations model of strategy choices. Based on performance in a remedial education course, as indexed by achievement test scores, the LD sample was reclassified into a LD-improved group and an LD-no-change group. No substantive differences comparing the normal and LD-improved groups occurred in the distribution of strategy choices, strategy characteristics (e.g., error rates), or rate of information processing. The performance characteristics of the LD-no-change group, as compared to the two remaining groups, included frequent counting and memory retrieval errors, frequent use of an immature computational strategy, poor strategy choices, and a variable rate of information processing. These performance characteristics were discussed in terms of the strategy choice model and in terms of potential long-term memory and working memory capacity deficits. In addition, implications for remedial education in mathematics were discussed.

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Mesh:

Year:  1990        PMID: 2348157     DOI: 10.1016/0022-0965(90)90065-g

Source DB:  PubMed          Journal:  J Exp Child Psychol        ISSN: 0022-0965


  34 in total

1.  The specific disorder of arithmetic skills. Prevalence studies in a rural and an urban population sample and their clinico-neuropsychological validation.

Authors:  J Hein; M W Bzufka; K J Neumärker
Journal:  Eur Child Adolesc Psychiatry       Date:  2000       Impact factor: 4.785

Review 2.  The determinants of arithmetic skills in young children: some observations.

Authors:  S H Haskell
Journal:  Eur Child Adolesc Psychiatry       Date:  2000       Impact factor: 4.785

3.  Working memory and intrusions of irrelevant information in a group of specific poor problem solvers.

Authors:  M C Passolunghi; C Cornoldi; S De Liberto
Journal:  Mem Cognit       Date:  1999-09

4.  Developmental cognitive neuroscience of arithmetic: implications for learning and education.

Authors:  Vinod Menon
Journal:  ZDM       Date:  2010-10

Review 5.  Consequences, characteristics, and causes of mathematical learning disabilities and persistent low achievement in mathematics.

Authors:  David C Geary
Journal:  J Dev Behav Pediatr       Date:  2011-04       Impact factor: 2.225

6.  Effects of problem size, operation, and working-memory span on simple-arithmetic strategies: differences between children and adults?

Authors:  Ineke Imbo; André Vandierendonck
Journal:  Psychol Res       Date:  2007-04-25

7.  Effects of Small-Group Tutoring with and without Validated Classroom Instruction on At-Risk Students' Math Problem Solving: Are Two Tiers of Prevention Better Than One?

Authors:  Lynn S Fuchs; Douglas Fuchs; Caitlin Craddock; Kurstin N Hollenbeck; Carol L Hamlett; Christopher Schatschneider
Journal:  J Educ Psychol       Date:  2008

8.  How does a child solve 7 + 8? Decoding brain activity patterns associated with counting and retrieval strategies.

Authors:  Soohyun Cho; Srikanth Ryali; David C Geary; Vinod Menon
Journal:  Dev Sci       Date:  2011-04-25

9.  Relation between brain architecture and mathematical ability in children: a DBM study.

Authors:  Zhaoying Han; Nicole Davis; Lynn Fuchs; Adam W Anderson; John C Gore; Benoit M Dawant
Journal:  Magn Reson Imaging       Date:  2013-10-02       Impact factor: 2.546

10.  Cognitive Predictors of Calculations and Number Line Estimation with Whole Numbers and Fractions among At-Risk Students.

Authors:  Jessica M Namkung; Lynn S Fuchs
Journal:  J Educ Psychol       Date:  2015-06-15
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