Is Nonsymbolic Arithmetic Truly "Arithmetic"? Examining the Computational Capacity of the Approximate Number System in Young Children

被引:5
|
作者
Cheng, Chen [1 ]
Kibbe, Melissa M. M. [2 ]
机构
[1] Hong Kong Univ Sci & Technol, Div Social Sci, Hong Kong, Peoples R China
[2] Boston Univ, Dept Psychol & Brain Sci, 64 Cummington Mall, Boston, MA 02215 USA
基金
美国国家科学基金会;
关键词
Nonsymbolic arithmetic; Numerical cognition; Mathematical cognition; Approximate number system; Function arithmetic; NUMERICAL MAGNITUDE REPRESENTATIONS; VISUAL WORKING-MEMORY; INDIVIDUAL-DIFFERENCES; MATH PERFORMANCE; NEURAL BASIS; SENSE; ACUITY; DISCRIMINATION; FOUNDATIONS; INFANTS;
D O I
10.1111/cogs.13299
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Young children with limited knowledge of formal mathematics can intuitively perform basic arithmetic-like operations over nonsymbolic, approximate representations of quantity. However, the algorithmic rules that guide such nonsymbolic operations are not entirely clear. We asked whether nonsymbolic arithmetic operations have a function-like structure, like symbolic arithmetic. Children (n = 74 4- to -8-year-olds in Experiment 1; n = 52 7- to 8-year-olds in Experiment 2) first solved two nonsymbolic arithmetic problems. We then showed children two unequal sets of objects, and asked children which of the two derived solutions should be added to the smaller of the two sets to make them "about the same." We hypothesized that, if nonsymbolic arithmetic follows similar function rules to symbolic arithmetic, then children should be able to use the solutions of nonsymbolic computations as inputs into another nonsymbolic problem. Contrary to this hypothesis, we found that children were unable to reliably do so, suggesting that these solutions may not operate as independent representations that can be used inputs into other nonsymbolic computations. These results suggest that nonsymbolic and symbolic arithmetic computations are algorithmically distinct, which may limit the extent to which children can leverage nonsymbolic arithmetic intuitions to acquire formal mathematics knowledge.
引用
收藏
页数:25
相关论文
共 50 条
  • [1] Nonsymbolic, approximate arithmetic in children: Abstract addition prior to instruction
    Barth, Hilary
    Beckmann, Lacey
    Spelke, Elizabeth S.
    DEVELOPMENTAL PSYCHOLOGY, 2008, 44 (05) : 1466 - 1477
  • [2] Effects of non-symbolic arithmetic training on symbolic arithmetic and the approximate number system
    Au, Jacky
    Jaeggi, Susanne M.
    Buschkuehl, Martin
    ACTA PSYCHOLOGICA, 2018, 185 : 1 - 12
  • [3] Moving along the number line: Operational momentum in nonsymbolic arithmetic
    Koleen McCrink
    Stanislas Dehaene
    Ghislaine Dehaene-Lambertz
    Perception & Psychophysics, 2007, 69 : 1324 - 1333
  • [4] Cognitive and Neural Effects of a Brief Nonsymbolic Approximate Arithmetic Training in Healthy First Grade Children
    Gouet, Camilo
    Gutierrez Silva, Cesar A.
    Guedes, Bruno
    Pena, Marcela
    FRONTIERS IN INTEGRATIVE NEUROSCIENCE, 2018, 12
  • [5] Moving along the number line: Operational momentum in nonsymbolic arithmetic
    McCrink, Koleen
    Dehaene, Stanislas
    Dehaene-Lambertz, Ghislaine
    PERCEPTION & PSYCHOPHYSICS, 2007, 69 (08): : 1324 - 1333
  • [6] Children's Arithmetic Development It Is Number Knowledge, Not the Approximate Number Sense, That Counts
    Goebel, Silke M.
    Watson, Sarah E.
    Lervag, Arne
    Hulme, Charles
    PSYCHOLOGICAL SCIENCE, 2014, 25 (03) : 789 - 798
  • [7] Arithmetic Training Does Not Improve Approximate Number System Acuity
    Lindskog, Marcus
    Winman, Anders
    Poom, Leo
    FRONTIERS IN PSYCHOLOGY, 2016, 7
  • [8] Processing speed links approximate number system and arithmetic abilities
    Shen, Shiqiao
    Wei, Wei
    LEARNING AND INDIVIDUAL DIFFERENCES, 2023, 105
  • [9] The Central Executive Mediates the Relationship Between Children's Approximate Number System Acuity and Arithmetic Strategy Utilization in Computational Estimation
    Li, Hongxia
    Zhang, Mingliang
    Wang, Xiangyan
    Ding, Xiao
    Si, Jiwei
    FRONTIERS IN PSYCHOLOGY, 2018, 9
  • [10] MACcelerator: Approximate Arithmetic Unit for Computational Acceleration
    Sokolova, Alice
    Imani, Mohsen
    Huang, Andrew
    Garcia, Ricardo
    Morris, Justin
    Rosing, Tajana
    Aksanli, Baris
    PROCEEDINGS OF THE 2021 TWENTY SECOND INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED 2021), 2021, : 444 - 449