The development of number line estimation in children at risk of mathematics learning difficulties: A longitudinal study

被引:0
作者
Ruiz, Carola [1 ,2 ]
Kohnen, Saskia [3 ,5 ]
Munez, David [4 ]
Bull, Rebecca [1 ]
机构
[1] Macquarie Univ, Ctr Res Numeracy Dev & Learning, Sch Educ, Sydney, NSW 2109, Australia
[2] Univ Catolica Uruguay, Dept Neurociencia & Aprendizaje, Dept Montevideo, Montevideo 11600, Uruguay
[3] Macquarie Univ, Ctr Res Numeracy Dev & Learning, Ctr Reading, Sch Psychol Sci, Sydney, NSW 2109, Australia
[4] Nanyang Technol Univ, Natl Inst Educ, Ctr Res Child Dev, Singapore 639798, Singapore
[5] Australian Catholic Univ, Australian Ctr Advancement Literacy, Sydney, Australia
关键词
Number line; Estimation patterns; Magnitude representation; Proportional reasoning; Mathematical achievement; Mathematics learning difficulties; NUMERICAL ESTIMATION; ACHIEVEMENT; REPRESENTATIONS; KINDERGARTEN; PERFORMANCE; FAMILIARITY; SENSE;
D O I
10.1016/j.jecp.2024.105916
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
Children with mathematics learning difficulties (MLD) show poorer performance on the number line task, but how performance on this task relates to other mathematical skills is unclear. This study examined the association between performance on the number line task and mathematical skills during the first 2 years of school for children at risk of MLD. Children (N = 100; M-age = 83.63 months) were assessed on four occasions on the number line task and other mathematical skills (math fluency, numerical operations, and mathematical reasoning). Estimation patterns were analyzed based on the representational shift and proportional judgment accounts separately. More consistent longitudinal trends and stronger evidence for differences in mathematical skills based on estimation patterns were found within the representational shift account. Latent growth curve models showed accuracy on the number line task as a predictor of growth in some mathematical skills assessed. We discuss impacts of methodological limitations on the study of estimation patterns. (c) 2024 Elsevier Inc. All rights reserved.
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页数:22
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