Neurocognitive Foundations of Fraction Processing

Neurocognitive Foundations of Fraction Processing
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DOI:
10.1007/978-3-030-44982-7_27-1
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发表时间:
2021
期刊:
Handbook of Cognitive Mathematics
影响因子:
--
通讯作者:
Silke M. Wortha;A. Obersteiner;T. Dresler
Silke M. Wortha;A. Obersteiner;T. Dresler
中科院分区:
其他
文献类型:
--
作者:
Silke M. Wortha;A. Obersteiner;T. Dresler

文献摘要

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许多儿童和成人都将分数视为具有挑战性的数学内容。行为研究已经广泛地记录了分数任务中的典型错误,并确定了导致其发生的各种因素。然而,分数加工和分数学习的认知机制仍然没有完全弄清楚。近年来,脑成像研究已经开始揭示分数处理的神经基础。本章简要总结了行为反应时间和眼动追踪研究的主要发现,并更广泛地回顾了分数加工的神经科学研究。使用具有高空间分辨率的功能性磁共振成像(fMRI)的研究表明,分数可以作为整体数值大小进行整体处理,并且顶内沟(IPS)在这种处理中起着关键作用。另一方面,使用具有高时间分辨率的脑电图(EEG)的研究提供了一个更有区别的图片。与反应时间和眼动追踪研究一致,这些研究表明分数可以根据任务要求进行整体或成分处理。本文在回顾国内外数字加工研究的基础上,提出了分数加工的时间模型。我们的结论是,进一步的研究应该集中在具体的时间特性的分数处理过程中的问题解决,以更好地了解大脑如何构建和代表整体分数的大小。
Many children and adults experience fractions as a challenging mathematical content. Behavioral studies have extensively documented typical errors in fraction tasks and identified various factors that contribute to their occurrence. However, the cognitive mechanisms of fraction processing and fraction learning are still not fully understood. In recent years, brain imaging studies have begun to unravel the neural underpinnings of fraction processing. This chapter briefly summarizes key findings from behavioral reaction time and eye-tracking studies and reviews more extensively the available neuroscientific studies on fraction processing. Research using functional magnetic resonance imaging (fMRI), which has high spatial resolution, suggests that fractions can be processed holistically as whole numerical magnitudes and that the intraparietal sulcus (IPS) plays a key role in such processing. On the other hand, studies that used electroencephalography (EEG), which has a high temporal resolution, provide a more differentiated picture. In line with reaction time and eye-tracking studies, these studies suggest that fractions can be processed holistically or componentially, depending on task requirements. Based on the reviewed literature and previous models on number processing, we propose a tentative temporal model of fraction processing. We conclude that further research should focus specifically on the temporal characteristics of fraction processing during problem-solving to better understand how the brain constructs and represents holistic fraction magnitude.