Major Clare S, Paul Jacob M, Reeve Robert A
Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia.
Front Psychol. 2017 Dec 22;8:2263. doi: 10.3389/fpsyg.2017.02263. eCollection 2017.
Different math indices can be used to assess math potential at school entry. We evaluated whether standardized math achievement (TEMA-2 performance), core number abilities (dot enumeration, symbolic magnitude comparison), non-verbal intelligence (NVIQ) and visuo-spatial working memory (VSWM), in combination or separately, predicted mental addition problem solving speed over time. We assessed 267 children's TEMA-2, magnitude comparison, dot enumeration, and VSWM abilities at school entry (5 years) and NVIQ at 8 years. Mental addition problem solving speed was assessed at 6, 8, and 10 years. Longitudinal path analysis supported a model in which dot enumeration performance ability profiles and previous mental addition speed predicted future mental addition speed on all occasions, supporting a componential account of math ability. Standardized math achievement and NVIQ predicted mental addition speed at specific time points, while VSWM and symbolic magnitude comparison did not contribute unique variance to the model. The implications of using standardized math achievement and dot enumeration ability to index math learning potential at school entry are discussed.
不同的数学指标可用于评估入学时的数学潜力。我们评估了标准化数学成绩(TEMA - 2表现)、核心数字能力(点数、符号大小比较)、非言语智力(NVIQ)和视觉空间工作记忆(VSWM),单独或综合起来,是否能预测随着时间推移解决心算问题的速度。我们在入学时(5岁)评估了267名儿童的TEMA - 2、大小比较、点数和VSWM能力,并在8岁时评估了他们的NVIQ。在心算问题解决速度方面,我们在6岁、8岁和10岁时进行了评估。纵向路径分析支持了一个模型,其中点数表现能力概况和之前的心算速度在所有情况下都能预测未来的心算速度,这支持了对数学能力的成分分析。标准化数学成绩和NVIQ在特定时间点能预测心算速度,而VSWM和符号大小比较对该模型没有独特的方差贡献。本文讨论了使用标准化数学成绩和点数能力来衡量入学时数学学习潜力的意义。