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Identifying children with persistent low math achievement: The role of number-magnitude mapping and symbolic numerical processing
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Learning and Instruction Volume 60, Number 1, ISSN 0959-4752 Publisher: Elsevier Ltd

Abstract

Although an increasing number of research studies have investigated the cognitive deficits related to difficulties in learning mathematics, little is known about whether these cognitive deficits longitudinally predict low mathematics achievement over time. The current 6-year longitudinal study was conducted to address this issue. A sample of 101 students was tested on various numerical and cognitive competencies when they were in kindergarten and in Grade 1. They were then followed until they were in Grade 6, and their mathematics achievement was assessed bi-annually. A group of persistent low mathematics achievers (PLA) who scored consistently below the 25th percentile was identified. This group of PLA showed difficulties in most of the numerical tasks as early as kindergarten. More importantly, three of the early predictors correctly identified 79% of the PLAs. The current findings provide valuable information concerning the core cognitive deficits underlying difficulties in learning mathematics as well as an important tool for educators for identifying children who are at risk of persistent math learning difficulties in the elementary school years.

Citation

Wong, T.T.Y. & Chan, W.W.L. (2019). Identifying children with persistent low math achievement: The role of number-magnitude mapping and symbolic numerical processing. Learning and Instruction, 60(1), 29-40. Elsevier Ltd. Retrieved February 20, 2020 from .

This record was imported from Learning and Instruction on March 15, 2019. Learning and Instruction is a publication of Elsevier.

Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.learninstruc.2018.11.006

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