首页> 外文期刊>Journal of experimental psychology. Learning, memory, and cognition >Identifying Strategies in Arithmetic With the Operand Recognition Paradigm: A Matter of Switch Cost?
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Identifying Strategies in Arithmetic With the Operand Recognition Paradigm: A Matter of Switch Cost?

机译:使用操作数识别范例识别算术策略:转换成本的问题吗?

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摘要

Determining adults' and children's strategies in mental arithmetic constitutes a central issue in the domain of numerical cognition. However, despite the considerable amount of research on this topic, the conclusions in the literature are not always coherent. Therefore, there is a need to carry on the investigation, and this is the reason why we developed the operand recognition paradigm (ORP). It capitalizes on the fact that, contrary to retrieval, calculation procedures degrade the memory traces of the operands involved in a problem. As a consequence, the use of calculation procedures is inferred from relatively long recognition times of the operands. However, it has been suggested that recognition times within the ORP do not reflect strategies but the difficulty of switching from a difficult task (calculation) to a simpler one (recognition). In order to examine this possibility, in a series of 3 experiments we equalized switch-cost variations in all conditions through the introduction of intermediate tasks between problem solving and recognition. Despite this neutralization, we still obtained the classical effects of the ORP, namely longer recognition times after addition than after comparison. We conclude that the largest part of the ORP effects is related to different strategy use and not to difficulty-related switch costs. The possible applications and promising outcomes of the ORP in and outside the field of numerical cognition are discussed.
机译:确定数字算术中成人和儿童的策略是数字认知领域的核心问题。然而,尽管对该主题进行了大量研究,但文献中的结论并不总是一致的。因此,有必要进行调查,这就是我们开发操作数识别范例(ORP)的原因。它利用了这样一个事实,即与检索相反,计算过程会降低问题中涉及的操作数的内存跟踪。结果,从相对长的操作数识别时间推断出使用计算程序。但是,已经提出,ORP中的识别时间不反映策略,而是反映从困难任务(计算)转换为简单任务(识别)的困难。为了检验这种可能性,在3个系列的实验中,我们通过引入问题解决和识别之间的中间任务来均衡所有条件下的转换成本变化。尽管进行了中和,我们仍然获得了ORP的经典效果,即添加后的识别时间比比较后更长。我们得出结论,ORP影响的最大部分与不同策略的使用有关,与难度相关的转换成本无关。讨论了ORP在数字认知领域内外的可能应用和有希望的结果。

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