形态感知是分类能力和数学表现之间的关系的认知相关物
Zhijun Cui1,2, Yuwei Hu1,3,4, Xinnan Wang1
1State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute of Brain Research, Beijing Normal University, Beijing, 100875, China.
Cognitive processing
|February 29, 2024
概括
形态感知完全解释了分类 (快速数字识别) 和数学技能之间的联系. 这种非数字认知因素调解了这种关系,特别是在儿童的基本算术表现方面.
科学领域:
- 认知心理学 认知心理学
- 发展心理学 发展心理学
- 教育心理学教育心理学
背景情况:
- 亚分化,对小数量的快速和准确的感知 (大约. 4项),与数学表现密切相关.
- 连接子化能力和数学表现的潜在认知机制仍然不完全理解.
- 调查非数值因素对于阐明这种关联至关重要.
研究的目的:
- 检查通过序列数字匹配任务评估的形状感知是否在分类和数学表现之间充当非数值调解器.
- 在各种算术任务中区分分类型和估计的作用.
- 探索形状感知在数量比较和算术表现中的调解作用.
主要方法:
- 在373名中国小学学生的样本中,使用了层次回归分析.
- 参与者完成了点比较任务 (分类和估计),序列数字匹配任务和多次数学绩效评估.
- 共同变量包括年龄,性别,非语言矩阵推理和视觉跟踪来控制一般认知能力.
主要成果:
- 分类比较预测了简单的加法和减法性能,即使在控制了一般认知能力之后.
- 点对比条件的预测能力消失了,当形式感知被纳入作为共变量时.
- 路径分析表明,形状感知完全介导了数量比较 (在分类范围内和之外) 和算术性能之间的关系.
结论:
- 形状感知作为一个重要的非数字认知相关物,将分化能力与算术表现联系起来.
- 研究结果表明,改善形状感知可能间接增强与数量处理相关的数学能力.
- 这项研究强调了在理解数字认知发展时考虑感知因素的重要性.
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