New measures of number line estimation performance reveal children's ordinal understanding of numbers

被引:0
作者
Chan, Jenny Yun-Chen [1 ,2 ]
Mazzocco, Michele M. M. [1 ]
机构
[1] Univ Minnesota Twin Cities, Inst Child Dev, Minneapolis, MN 55455 USA
[2] Educ Univ Hong Kong, Early Childhood Educ, Tai Po, Hong Kong, Peoples R China
基金
美国国家科学基金会;
关键词
Number ordering; Number line; Numerical sequence; Math cognition; Early numeracy; NUMERICAL ESTIMATION; REPRESENTATIONS; PREDICTORS; KNOWLEDGE; LANGUAGE; ABILITY; CORE;
D O I
10.1016/j.jecp.2024.105965
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's performance on the number line estimation task, often measured by the percentage of absolute error, predicts their later mathematics achievement. This task may also reveal (a) children's ordinal understanding of the target numbers in relation to each other and the benchmarks (e.g., endpoints, midpoint) and (b) the ordinal skills that are a necessary precursor to children's ability to understand the interval nature of a number line as measured by percentage of absolute error. Using data from 104 U.S. kindergartners, we measured whether children's estimates were correctly sequenced across trials and correctly positioned relative to given benchmarks within trials at two time points. For both time points, we found that each ordinal error measure revealed a distinct pattern of data distribution, providing opportunities to tap into different aspects of children's ordinal understanding. Furthermore, children who made fewer ordinal errors scored higher on the Test of Early Mathematics Ability and showed greater improvement on their interval understanding of numbers as reflected by a larger reduction of percentage of absolute error from Time 1 to Time 2. The findings suggest that our number line measures reveal individual differences in children's ordinal understanding of numbers, and that such understanding may be a precursor to their interval understanding and later mathematics performance. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY -NC -ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:20
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