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How does a child solve 7 + 8? Decoding brain activity patterns associated with counting and retrieval strategies.儿童如何解决 7+8?解码与计数和检索策略相关的大脑活动模式。
Dev Sci. 2011 Sep;14(5):989-1001. doi: 10.1111/j.1467-7687.2011.01055.x. Epub 2011 Apr 25.
2
The contributions of numerosity and domain-general abilities to school readiness.数量和领域一般性能力对入学准备的贡献。
Child Dev. 2010 Sep-Oct;81(5):1520-33. doi: 10.1111/j.1467-8624.2010.01489.x.
3
Predicting Mathematical Achievement and Mathematical Learning Disability With a Simple Screening Tool: The Number Sets Test.使用一种简单的筛查工具预测数学成绩和数学学习障碍:数字集测试。
J Psychoeduc Assess. 2009 Jun;27(3):265-279. doi: 10.1177/0734282908330592.
4
First-Grade Predictors of Mathematical Learning Disability: A Latent Class Trajectory Analysis.数学学习障碍的一级预测因素:潜在类别轨迹分析
Cogn Dev. 2009 Jan 1;24(4). doi: 10.1016/j.cogdev.2009.10.001.
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Complexities in Identifying and Defining Mathematics Learning Disability in the Primary School-Age Years.小学阶段数学学习障碍识别与定义的复杂性
Ann Dyslexia. 2003 Jan 1;53(1):218-253. doi: 10.1007/s11881-003-0011-7.
6
Children's early mental number line: logarithmic or decomposed linear?儿童早期的心理数字线:对数型还是分解线性型?
J Exp Child Psychol. 2009 Aug;103(4):503-15. doi: 10.1016/j.jecp.2009.02.006. Epub 2009 Mar 27.
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The parietal cortex and episodic memory: an attentional account.顶叶皮层与情景记忆:一种注意视角
Nat Rev Neurosci. 2008 Aug;9(8):613-25. doi: 10.1038/nrn2459.
8
Development of number line representations in children with mathematical learning disability.数学学习障碍儿童数字线表征的发展
Dev Neuropsychol. 2008;33(3):277-99. doi: 10.1080/87565640801982361.
9
Cognitive characteristics of children with mathematics learning disability (MLD) vary as a function of the cutoff criterion used to define MLD.数学学习障碍(MLD)儿童的认知特征会因用于定义MLD的截断标准不同而有所差异。
J Learn Disabil. 2007 Sep-Oct;40(5):458-78. doi: 10.1177/00222194070400050901.
10
Cognitive mechanisms underlying achievement deficits in children with mathematical learning disability.数学学习障碍儿童成就缺陷背后的认知机制。
Child Dev. 2007 Jul-Aug;78(4):1343-59. doi: 10.1111/j.1467-8624.2007.01069.x.

低成就儿童和数学学习障碍儿童的事实检索缺陷。

Fact retrieval deficits in low achieving children and children with mathematical learning disability.

机构信息

University of Missouri, Columbia, MO 65211-2500, USA.

出版信息

J Learn Disabil. 2012 Jul-Aug;45(4):291-307. doi: 10.1177/0022219410392046. Epub 2011 Jan 20.

DOI:10.1177/0022219410392046
PMID:21252374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3163113/
Abstract

Using 4 years of mathematics achievement scores, groups of typically achieving children (n = 101) and low achieving children with mild (LA-mild fact retrieval; n = 97) and severe (LA-severe fact retrieval; n = 18) fact retrieval deficits and mathematically learning disabled children (MLD; n = 15) were identified. Multilevel models contrasted developing retrieval competence from second to fourth grade with developing competence in executing arithmetic procedures, in fluency of processing quantities represented by Arabic numerals and sets of objects, and in representing quantity on a number line. The retrieval deficits of LA-severe fact retrieval children were at least as debilitating as those of the children with MLD and showed less across-grade improvement. The deficits were characterized by the retrieval of counting string associates while attempting to remember addition facts, suggesting poor inhibition of irrelevant information during the retrieval process. This suggests a very specific form of working memory deficit, one that is not captured by many typically used working memory tasks. Moreover, these deficits were not related to procedural competence or performance on the other mathematical tasks, nor were they related to verbal or nonverbal intelligence, reading ability, or speed of processing, nor would they be identifiable with standard untimed mathematics achievement tests.

摘要

使用 4 年的数学成绩,将表现出典型成就的儿童组(n=101)和具有轻度(LA-轻度事实检索;n=97)和严重(LA-严重事实检索;n=18)事实检索缺陷以及数学学习障碍儿童(MLD;n=15)的儿童分为不同的群体。多层次模型对比了从二年级到四年级发展检索能力与发展执行算术程序、处理阿拉伯数字和物体集合所代表的数量的流畅性以及在线上表示数量的能力。LA-严重事实检索儿童的检索缺陷至少与 MLD 儿童的缺陷一样严重,而且在整个年级的表现上并没有明显改善。这些缺陷的特点是在尝试记住加法事实时检索到计数字符串联想,这表明在检索过程中无法很好地抑制无关信息。这表明存在一种非常特殊的工作记忆缺陷,这是许多常用的工作记忆任务无法捕捉到的。此外,这些缺陷与程序能力或其他数学任务的表现无关,也与言语或非言语智力、阅读能力或处理速度无关,也无法通过标准的非计时数学成就测试来识别。