非言语数字技能的个体差异可预测数学焦虑。
Individual differences in nonverbal number skills predict math anxiety.
作者信息
Lindskog Marcus, Winman Anders, Poom Leo
机构信息
Uppsala University, Uppsala, Sweden.
Uppsala University, Uppsala, Sweden.
出版信息
Cognition. 2017 Feb;159:156-162. doi: 10.1016/j.cognition.2016.11.014. Epub 2016 Dec 10.
Math anxiety (MA) involves negative affect and tension when solving mathematical problems, with potentially life-long consequences. MA has been hypothesized to be a consequence of negative learning experiences and cognitive predispositions. Recent research indicates genetic and neurophysiological links, suggesting that MA stems from a basic level deficiency in symbolic numerical processing. However, the contribution of evolutionary ancient purely nonverbal processes is not fully understood. Here we show that the roots of MA may go beyond symbolic numbers. We demonstrate that MA is correlated with precision of the Approximate Number System (ANS). Individuals high in MA have poorer ANS functioning than those low in MA. This correlation remains significant when controlling for other forms of anxiety and for cognitive variables. We show that MA mediates the documented correlation between ANS precision and math performance, both with ANS and with math performance as independent variable in the mediation model. In light of our results, we discuss the possibility that MA has deep roots, stemming from a non-verbal number processing deficiency. The findings provide new evidence advancing the theoretical understanding of the developmental etiology of MA.
数学焦虑(MA)是指在解决数学问题时涉及负面情绪和紧张感,可能会产生终身影响。据推测,数学焦虑是负面学习经历和认知倾向的结果。最近的研究表明存在遗传和神经生理联系,这表明数学焦虑源于符号数字处理的基本水平缺陷。然而,进化上古老的纯非语言过程的作用尚未完全被理解。在这里,我们表明数学焦虑的根源可能超出符号数字。我们证明数学焦虑与近似数字系统(ANS)的精度相关。数学焦虑程度高的个体的近似数字系统功能比数学焦虑程度低的个体更差。在控制其他形式的焦虑和认知变量时,这种相关性仍然显著。我们表明,在中介模型中,以近似数字系统和数学成绩作为自变量时,数学焦虑介导了已记录的近似数字系统精度与数学成绩之间的相关性。根据我们的研究结果,我们讨论了数学焦虑具有深层根源的可能性,这种根源源于非语言数字处理缺陷。这些发现为推进对数学焦虑发展病因的理论理解提供了新证据。