Children's Number-Line Estimation Shows Development of Measurement Skills (Not Number Representations)

被引:81
|
作者
Cohen, Dale J. [1 ]
Sarnecka, Barbara W. [2 ]
机构
[1] Univ N Carolina, Dept Psychol, Wilmington, NC 28403 USA
[2] Univ Calif Irvine, Dept Cognit Sci, Irvine, CA 92717 USA
基金
美国国家科学基金会;
关键词
numerical cognition; number line estimation; cyclic power model; log-to-linear shift; numerical representation; NUMERICAL ESTIMATION; INDIVIDUAL-DIFFERENCES; PROPORTION; PSYCHOPHYSICS; JUDGMENTS; TIME; BIAS;
D O I
10.1037/a0035901
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 understanding of numbers is often assessed using a number-line task, where the child is shown a line labeled with 0 at one end and a higher number (e. g., 100) at the other end. The child is then asked where on the line some intermediate number (e. g., 70) should go. Performance on this task changes predictably during childhood, and this has often been interpreted as evidence of a change in the child's psychological representation of integer quantities. The present article presents theoretical and empirical evidence that the change in number-line performance actually reflects the development of measurement skills used in the task. We compare 2 versions of the number-line task: the bounded version used in the literature and a new, unbounded version. Results indicate that it is only children's performance on the bounded task (which requires subtraction or division) that changes markedly with age. In contrast, children's performance on the unbounded task (which requires only addition) remains fairly constant as they get older. Thus, developmental changes in performance on the traditional bounded number-line task likely reflect the growth of task-specific measurement skills rather than changes in the child's understanding of numerical quantities.
引用
收藏
页码:1640 / 1652
页数:13
相关论文
共 50 条
  • [1] The development of structural analogy in number-line estimation
    Sullivan, Jessica
    Barner, David
    JOURNAL OF EXPERIMENTAL CHILD PSYCHOLOGY, 2014, 128 : 171 - 189
  • [2] Number Representations Drive Number-Line Estimates
    Yuan, Lei
    Prather, Richard
    Mix, Kelly S.
    Smith, Linda B.
    CHILD DEVELOPMENT, 2020, 91 (04) : E952 - E967
  • [3] Children Can Accurately Monitor and Control Their Number-Line Estimation Performance
    Wall, Jenna L.
    Thompson, Clarissa A.
    Dunlosky, John
    Merriman, William E.
    DEVELOPMENTAL PSYCHOLOGY, 2016, 52 (10) : 1493 - 1502
  • [4] Neural coding partially accounts for the relationship between children's number-line estimation and number comparison performance
    Prather, Richard
    JOURNAL OF COGNITION AND DEVELOPMENT, 2018, 19 (02) : 201 - 219
  • [5] Revisiting the Relationship Between Number-Line Estimation and Basic Addition and Subtraction in Elementary School Children and Adults
    Alnajashi, Sumyah
    JOURNAL OF COGNITIVE EDUCATION AND PSYCHOLOGY, 2021, 20 (02) : 123 - 137
  • [6] Children's number line estimation strategies: evidence from bounded and unbounded number line estimation tasks
    Li, Mengxia
    Yang, Jiahui
    Ye, Xiaolin
    FRONTIERS IN PSYCHOLOGY, 2024, 15
  • [7] Gender differences in confidence during number-line estimation
    Rivers, Michelle L.
    Fitzsimmons, Charles J.
    Fisk, Susan R.
    Dunlosky, John
    Thompson, Clarissa A.
    METACOGNITION AND LEARNING, 2021, 16 (01) : 157 - 178
  • [8] Development of children's number line estimation in primary school: Regional and curricular influences
    Xu, Chang
    Burr, Sabrina Di Lonardo
    LeFevre, Jo-Anne
    Skwarchuk, Sheri-Lynn
    Osana, Helena P.
    Maloney, Erin A.
    Wylie, Judith
    Simms, Victoria
    Susperreguy, Maria Ines
    Douglas, Heather
    Lafay, Anne
    COGNITIVE DEVELOPMENT, 2023, 67
  • [9] Comparing Children's Performance on and Preference for a Number-Line Estimation Task: Tablet Versus Paper and Pencil
    Piatt, Carley
    Coret, Marian
    Choi, Michael
    Volden, Joanne
    Bisanz, Jeffrey
    JOURNAL OF PSYCHOEDUCATIONAL ASSESSMENT, 2016, 34 (03) : 244 - 255
  • [10] Varieties of Number-Line Estimation: Systematic Review, Models, and Data
    Qin, Jike
    Kim, Dan
    Opfer, John E.
    DEVELOPMENTAL REVIEW, 2024, 74