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数学焦虑的神经网络模型:注意力的作用
Angela C Rose1, Hany Alashwal2, Ahmed A Moustafa3,4
1School of Psychology, Western Sydney University, Sydney, New South Wales, Australia.
PloS one
|December 14, 2023
概括
数学焦虑会破坏认知资源,导致数值任务的表现较差. 这项研究模拟了数学焦虑,发现它减少了对数字的注意力,与干扰和注意力控制理论一致.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 教育心理学教育心理学
背景情况:
- 数学焦虑会对数值任务的表现产生负面影响,影响教育和就业.
- 干扰账户表明,焦虑消耗有限的注意力和抑制资源.
- 现有的理论缺乏计算模型来解释数学焦虑的认知机制.
研究的目的:
- 开发数学焦虑的第一个神经网络模型.
- 模拟数字Stroop和符号数字比较任务的性能.
- 通过计算建模,研究数学焦虑背后的认知机制.
主要方法:
- 开发了一个神经网络模型来模拟数学焦虑.
- 修改模型参数 (注意力过程,学习) 来表示高和低的数学焦虑.
- 在数值Stroop和符号数字比较任务上模拟性能.
主要成果:
- 模型模拟表明在高数学焦虑条件下,对数值刺激的注意力减少.
- 模拟结果与焦虑下认知表现的干扰账户保持一致.
- 这些发现支持注意力控制理论,焦虑将注意力从目标导向转移到刺激驱动的过程.
结论:
- 数学焦虑是通过计算建模为对数值信息的注意力缺陷.
- 该模型为理解焦虑如何影响数学认知提供了一个框架.
- 结果突出了注意力过程在数学焦虑的表现中的作用.
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