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Learning and Solving Algebra Word Problems: The Roles of Relational Skills, Arithmetic, and Executive Functioning

机译:学习和解决代数词问题:关系技能,算术和执行功能的角色

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摘要

Although algebra is a prerequisite for higher mathematics, few studies have examined the mathematical and cognitive capabilities that contribute to the development of algebra word problems solving skills. We examined changes in these relations from second to ninth grades. Using a cross-sequential design that spanned 4 years, children from 3 cohorts (M-age = 7.85, 10.05, and 12.32) were administered annual tests of algebra word problems, mathematical skills (mathematical relational tasks, arithmetic word problems), and cognitive capabilities (working memory, updating, inhibitory, task switching, and performance intelligence). The cross-sectional findings showed that ability to solve mathematical relational problems was associated strongly with performance in algebra word problems. Working memory and updating explained variance in the relational, but not the algebra problems. Using an autoregressive cross-lagged model with structured residuals to analyze the longitudinal data, we found relational and arithmetic performance predicted independently algebra performance from one year to the next. The strength of these relations was consistent across grades. These findings point to the importance of developing skills in relational problems as one of the tools for improving algebra performance.
机译:虽然代数是高等数学的先决条件,但很少有研究已经检查了数学和认知能力,这有助于解决技能的代数词问题。我们检查了这些关系的变化从秒到第九年级。使用跨越4年的交叉顺序设计,3个队列(M-岁= 7.85,1.05,10.05和12.32)的儿童进行了代数词问题,数学技能(数学关系任务,算术词问题)和认知功能(工作内存,更新,禁止,任务交换和性能智能)。横截面调查结果表明,解决数学关系问题的能力在代数词问题中具有性能强烈相关。工作内存和更新在关系中解释了方差,但不是代数问题。使用具有结构性残差的自回归交叉滞后模型来分析纵向数据,我们发现关系和算术性能从一年到下一个独立的代数性能预测。这些关系的力量在等级中一致。这些发现指出了在改善代数表现的工具之一的关系问题中发展技能的重要性。

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