数字直线估计的发展,在儿童有风险的数学学习困难:一个纵向研究
Carola Ruiz1, Saskia Kohnen2, David Muñez3
1School of Education, Centre for Research in Numeracy Development and Learning, Macquarie University, Sydney, NSW 2109, Australia; Departamento de Neurociencia y Aprendizaje, Universidad Católica del Uruguay, 11600 Montevideo, Departamento de Montevideo, Uruguay.
Journal of experimental child psychology
|April 13, 2024
概括
患有数学学习困难 (MLD) 风险的儿童显示数字行任务的表现预测了以后的数学技能. 代表性转移账户更好地解释了早期数学发展中的估计模式.
科学领域:
- 认知心理学 认知心理学
- 发展心理学是发展心理学.
- 教育心理学教育心理学
背景情况:
- 患有数学学习困难 (MLD) 的儿童经常在数列任务中扎.
- 危险儿童的数线任务表现与其他数学技能之间的关系尚未得到充分理解.
研究的目的:
- 调查数线任务表现与患MLD风险儿童的数学技能之间的纵向关联.
- 为了比较估计模式解释 (代表性转移与比例判断) 的数列任务性能.
主要方法:
- 在100名儿童 (平均年龄为83.63个月) 的长度研究中,在四次评估中进行了评估.
- 评估数列任务的表现,以及数学流性,数值运算和数学推理.
- 分析了使用代表性转移和比例判断账户的估计模式.
主要成果:
- 代表性转移账户显示出更一致的纵向趋势和基于估计模式的数学技能更明显的区别.
- 确定数字行任务的准确性是特定数学技能增长的重要预测因素.
- 潜增长曲线建模提供了数字直线准确性的预测能力的证据.
结论:
- 数字行任务的表现,特别是通过代表性转移账户来解释,是风险儿童早期数学发展的有价值指标.
- 研究结果强调了数字直线任务对于预测未来数学成就的重要性.
- 在分析估计模式时的方法考虑需要进一步讨论.
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