Cognitive factors underlying mathematical skills: A systematic review and meta-analysis.

IF 17.3 1区 心理学 Q1 PSYCHOLOGY Psychological bulletin Pub Date : 2024-12-19 DOI:10.1037/bul0000457
Tonje Amland, Germán Grande, Ronny Scherer, Arne Lervåg, Monica Melby-Lervåg
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Abstract

In understanding the nature of mathematical skills, the most influential theories suggest that mathematical cognition draws on different systems: numerical, linguistic, spatial, and general cognitive skills. Studies show that skills in these areas are highly predictive of outcomes in mathematics. Nonetheless, the strength of these relations with mathematical achievement varies, and little is known about the moderators or relative importance of each predictor. Based on 269 concurrent and 174 longitudinal studies comprising 2,696 correlations, this meta-analysis summarizes the evidence on cognitive predictors of mathematical skills in children and adolescents. The results showed that nonsymbolic number skills (often labeled approximate number sense) correlate significantly less with mathematical achievement than symbolic number skills and that various aspects of language relate differently to mathematical outcomes. We observed differential predictive patterns for arithmetic and word problems, and these patterns only partly supported the theory of three pathways-quantitative, linguistic, and spatial-for mathematical skills. Concurrently, nonsymbolic number and phonological skills were weak but exclusive predictors of arithmetic skills, whereas nonverbal intelligence quotient (IQ) predicted word problems only. Only symbolic number skills predicted both arithmetic and word problems concurrently. Longitudinally, symbolic number skills, spatial ability, and nonverbal IQ predicted both arithmetic and word problems, whereas language comprehension was important for word problem solving only. As in the concurrent data, nonsymbolic number skill was a weak longitudinal predictor of arithmetic skills. We conclude that the candidates to target in intervention studies are symbolic number skills and language comprehension. It is uncertain whether the two other important predictors, nonverbal IQ and spatial skills, are actually malleable. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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数学技能背后的认知因素:系统回顾与元分析。
在理解数学技能的本质时,最具影响力的理论认为,数学认知依赖于不同的系统:数字、语言、空间和一般认知技能。研究表明,这些领域的技能可以高度预测数学成绩。尽管如此,这些与数学成绩的关系的强度各不相同,并且对每个预测因子的调节因子或相对重要性知之甚少。基于269项并行研究和174项纵向研究,包括2696项相关性,本荟萃分析总结了儿童和青少年数学技能认知预测因素的证据。结果表明,非符号数技能(通常被称为近似数感)与数学成绩的相关性明显低于符号数技能,语言的各个方面与数学成绩的相关性不同。我们观察到算术和文字问题的不同预测模式,这些模式只部分支持数学技能的三种途径理论——定量的、语言的和空间的。同时,非符号数字和语音技能是算术技能的弱但唯一的预测因素,而非语言智商(IQ)只预测单词问题。只有符号数技能可以同时预测算术和文字问题。纵向上,符号数技能、空间能力和非语言智商预测算术和文字问题,而语言理解仅对解决文字问题重要。在并发数据中,非符号数技能是算术技能的弱纵向预测因子。我们认为干预研究的目标是符号数技能和语言理解。另外两个重要的预测指标——非语言智商和空间能力——是否具有可塑性尚不确定。(PsycInfo Database Record (c) 2024 APA,版权所有)。
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来源期刊
Psychological bulletin
Psychological bulletin 医学-心理学
CiteScore
33.60
自引率
0.90%
发文量
21
期刊介绍: Psychological Bulletin publishes syntheses of research in scientific psychology. Research syntheses seek to summarize past research by drawing overall conclusions from many separate investigations that address related or identical hypotheses. A research synthesis typically presents the authors' assessments: -of the state of knowledge concerning the relations of interest; -of critical assessments of the strengths and weaknesses in past research; -of important issues that research has left unresolved, thereby directing future research so it can yield a maximum amount of new information.
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