Parameterizing Individual Differences in Fraction and Decimal Arithmetic

IF 2.4 2区 心理学 Q2 PSYCHOLOGY, EXPERIMENTAL
David W. Braithwaite, Anna N. Rafferty
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引用次数: 0

Abstract

Math problem solving frequently involves choices among alternative strategies. Strategy choices, and effects of problem features on strategy choices, both vary among individuals. We propose that individual differences in strategy choices can be well characterized in terms of parametric variation in three types of influence: global bias, relevant feature effects, and irrelevant feature effects. We test this framework by applying it to children's strategy choices in fraction and decimal arithmetic. We describe a simple mathematical model of strategy choice in this domain that is based on a recent theory of arithmetic development and includes parameters representing the three types of influence above. We estimate these parameters in a sample of 120 fifth to ninth graders and find that all of them vary substantially among children. Further, we find that different parameters relate differently to other domain-specific and domain-general abilities, supporting the utility of distinguishing among the parameters and estimating them separately for individuals. We discuss implications of the results regarding the nature and origins of individual differences in strategy choice in fraction and decimal arithmetic and math more broadly.

分数和十进制算术中的参数化个体差异
数学问题的解决经常涉及在各种备选策略中进行选择。策略选择,以及问题特征对策略选择的影响,都因个体而异。我们提出,策略选择的个体差异可以通过三种影响类型的参数变化来很好地表征:全局偏差、相关特征效应和不相关特征效应。我们通过将其应用于儿童在分数和十进制算术中的策略选择来测试这个框架。我们描述了一个简单的策略选择数学模型,该模型基于最近的算术发展理论,包括代表上述三种影响类型的参数。我们在120名五年级至九年级学生的样本中估计了这些参数,发现所有这些参数在孩子之间都有很大差异。此外,我们发现不同的参数与其他特定于领域和一般领域的能力有不同的关系,这支持了区分参数并对个体单独估计它们的效用。我们更广泛地讨论了分数、十进制算术和数学中策略选择的个体差异的性质和起源。
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来源期刊
Cognitive Science
Cognitive Science PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.10
自引率
8.00%
发文量
139
期刊介绍: Cognitive Science publishes articles in all areas of cognitive science, covering such topics as knowledge representation, inference, memory processes, learning, problem solving, planning, perception, natural language understanding, connectionism, brain theory, motor control, intentional systems, and other areas of interdisciplinary concern. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers in cognitive science and its associated fields, including anthropologists, education researchers, psychologists, philosophers, linguists, computer scientists, neuroscientists, and roboticists.
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