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Domain-Specific Principles Affect Learning and Transfer in Children

机译:特定领域的原则影响儿童的学习和迁移

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摘要

In this paper I discuss the curious lack of contact between developmental psychologists studying the principles of early learning and those concentrating an later learning in children, where predispositions to learn certain types of concepts are less readily discussed. Instead, there is tacit agreement that learning and transfer mechanisms are content-independent and age-dependent. I argue here that one cannot study learning and transfer in a vacuum and that children's ability to learn is intimately dependent on what they are required to learn and the context in which they must learn it. Specifically, I argue that children learn and transfer readily, even in traditional laboratory settings, if they are required to extend their knowledge about causal mechanisms that they already understand. This point is illustrated in a series of studies with children from 1 to 3 years of age learning about simple mechanisms of physical causality (pushing-pulling, wetting, cutting, etc.). In addition, I document children's difficulty learning about causally impossible events, such as pulling with strings that do not appear to make contact with the object they are pulling. Even young children transfer on the basis of deep structural principles rather than perceptual features when they have access to the requisite domain-specific knowledge. I argue that a search for causal explanations is the basis of broad understanding, of wide patterns of generalization, and of flexible transfer and creative inferential projections—in sum, the essential elements of meaningful learning.
机译:在本文中,我讨论了研究早期学习原理的发展心理学家与专注于儿童后期学习的心理学家之间缺乏联系的奇异之处,在这种情况下,学习某些类型概念的倾向性不易讨论。取而代之的是,人们默契地认为学习和转移机制与内容无关并且与年龄有关。我在这里辩称,一个人不能真空学习和学习,而孩子的学习能力则直接取决于他们需要学习的内容和学习的环境。具体而言,我认为即使要求儿童扩展他们已经了解的因果机制知识,即使在传统的实验室环境中,他们也容易学习和转移。在一系列针对1至3岁儿童的研究中,这一点得到了说明,他们了解了物理因果关系的简单机制(推拉,润湿,切割等)。另外,我记录了孩子学习因果关系不可能发生的事件时遇到的困难,例如用似乎与他们要拉扯的物体没有接触的弦线拉扯。即使是幼儿,当他们获得必要的特定领域知识时,他们也将根据深层的结构原理而不是感知特征进行迁移。我认为,寻找因果解释是广泛理解,广泛概括模式以及灵活转移和创造性推论性预测的基础,总之,这是有意义学习的基本要素。

著录项

  • 来源
    《Cognitive science》 |1990年第1期|107-133|共27页
  • 作者

    Ann L. Brown;

  • 作者单位

    University of California at Berkeley;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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