Seitz Maximilian, Weinert Sabine
Leibniz Institute for Educational Trajectories, Bamberg, Germany.
Department of Developmental Psychology, University of Bamberg, Germany.
Br J Dev Psychol. 2022 Jun;40(2):224-241. doi: 10.1111/bjdp.12408. Epub 2022 Mar 9.
As mathematical competence is linked to educational success, professional achievement, and even a country's economic growth, researchers have been interested in early predictors for quite some time. Although there have been numerous studies on domain-specific numerical abilities predicting later mathematical competence in preschool children, research in toddlers is scarce, especially regarding additional influential aspects, such as domain-general cognitive abilities and the children's social background. Using a large-scale dataset, the present study examined predictive effects of numeracy skills in 17-month-olds for later mathematical achievement. We found small, positive effects, even when controlling for child-related variables (i.e., age and sex) and the children's social background (i.e., maternal education and household language). Additionally, we compared results with a domain-general categorization task and found no distinct effect on mathematical competence. The present results are discussed with regard to the specificities of the dataset, as well as implications for future studies on predictors of mathematical competence.
由于数学能力与教育成就、职业成就乃至一个国家的经济增长相关联,研究人员对早期预测因素感兴趣已有相当一段时间了。尽管已有大量关于特定领域数字能力预测学龄前儿童后期数学能力的研究,但针对幼儿的研究却很少,尤其是在其他有影响的方面,如一般领域认知能力和儿童的社会背景方面。本研究使用大规模数据集,考察了17个月大幼儿的算术技能对其后期数学成绩的预测作用。我们发现了微小的积极影响,即使在控制了与儿童相关的变量(即年龄和性别)以及儿童的社会背景(即母亲的教育程度和家庭语言)之后也是如此。此外,我们将结果与一般领域分类任务的结果进行了比较,发现对数学能力没有明显影响。本文结合数据集的特点讨论了当前的研究结果,以及对未来数学能力预测因素研究的启示。