孩子们自发地发现有效的解决方案,一个困难的分类任务.
Huiwen Alex Yang1, Bill D Thompson2, Celeste Kidd2
1Department of Psychology, University of California, Berkeley, Berkeley, CA, USA. hw.yang@berkeley.edu.
Nature human behaviour
|October 3, 2025
概括
孩子们可以自发地发现和使用高效的排序算法,如选择排序,即使在复杂的任务中. 随着年龄的增长,表现会有所改善,儿童表现出更强的解决问题的能力.
科学领域:
- 认知发展 认知发展
- 计算思维 计算思维
- 发展心理学 发展心理学
背景情况:
- 算法策略增强了解决问题的能力,但对孩子来说很难发现和应用.
- 以前的研究表明,儿童在串行任务中与算法策略作斗争.
研究的目的:
- 研究在不同发育阶段的儿童中算法解决方案的自发发现和应用.
- 评估儿童解决隐藏信息复杂分类问题的能力.
主要方法:
- 给孩子们展示了一个修改后的分类任务,它涉及将动画子按高度排序在视觉屏障后面.
- 分析了儿童的表现和发现的策略 (例如,选择排序,摇摆排序) 跨年龄组.
主要成果:
- 孩子们的表现明显高于机会,表明他们在具有挑战性的分类任务中的能力.
- 观察到独立发现了像选择排序和摇排序这样的高效算法.
- 与年轻儿童相比,年长的儿童表现出优异的排序性能和更频繁地使用高效的算法.
结论:
- 儿童发现和应用算法解决方案的能力比以前认为的要大.
- 随着年龄的增长,分类任务的性能和高效算法的利用也在不断提高.
- 这项研究突出了儿童对行为组织和有效解决问题的天生的能力.
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