Rouder Jeffrey N, Geary David C
Department of Psychological Sciences, University of Missouri, USA.
Dev Sci. 2014 Jul;17(4):525-36. doi: 10.1111/desc.12166. Epub 2014 May 4.
Learning of the mathematical number line has been hypothesized to be dependent on an inherent sense of approximate quantity. Children's number line placements are predicted to conform to the underlying properties of this system; specifically, placements are exaggerated for small numerals and compressed for larger ones. Alternative hypotheses are based on proportional reasoning; specifically, numerals are placed relative to set anchors such as end points on the line. Traditional testing of these alternatives involves fitting group medians to corresponding regression models which assumes homogenous residuals and thus does not capture useful information from between- and within-child variation in placements across the number line. To more fully assess differential predictions, we developed a novel set of hierarchical statistical models that enable the simultaneous estimation of mean levels of and variation in performance, as well as developmental transitions. Using these techniques we fitted the number line placements of 224 children longitudinally assessed from first to fifth grade, inclusive. The compression pattern was evident in mean performance in first grade, but was the best fit for only 20% of first graders when the full range of variation in the data are modeled. Most first graders' placements suggested use of end points, consistent with proportional reasoning. Developmental transition involved incorporation of a mid-point anchor, consistent with a modified proportional reasoning strategy. The methodology introduced here enables a more nuanced assessment of children's number line representation and learning than any previous approaches and indicates that developmental improvement largely results from midpoint segmentation of the line.
关于学习数学数轴,有人提出假设,认为这依赖于一种内在的近似数量感。预计儿童在数轴上的数字摆放会符合该系统的基本属性;具体而言,小数字的摆放会被夸大,大数字的摆放则会被压缩。其他假设基于比例推理;具体来说,数字是相对于诸如数轴端点等固定锚点来放置的。对这些假设的传统测试涉及将组中位数拟合到相应的回归模型,该模型假定残差同质,因此无法从数轴上儿童之间和儿童内部数字摆放的差异中获取有用信息。为了更全面地评估不同的预测,我们开发了一套新颖的分层统计模型,能够同时估计表现的平均水平和变异性,以及发展转变情况。我们运用这些技术,对从一年级到五年级(含)纵向评估的224名儿童在数轴上的数字摆放进行了拟合。压缩模式在一年级的平均表现中很明显,但在对数据的全范围变异性进行建模时,仅20%的一年级学生的摆放情况最符合该模式。大多数一年级学生的摆放表明他们使用了端点,这与比例推理一致。发展转变涉及纳入一个中点锚点,这与一种改进的比例推理策略一致。此处介绍的方法能够比以往任何方法更细致入微地评估儿童的数轴表征和学习情况,并表明发展进步很大程度上源于数轴的中点分割。