Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Nat Hum Behav. 2022 Nov;6(11):1557-1568. doi: 10.1038/s41562-022-01427-2. Epub 2022 Sep 5.
Decades of research indicate that some of the epistemic practices that support scientific enquiry emerge as part of intuitive reasoning in early childhood. Here, we ask whether adults and young children can use intuitive statistical reasoning and metacognitive strategies to estimate how much information they might need to solve different discrimination problems, suggesting that they have some of the foundations for 'intuitive power analyses'. Across five experiments, both adults (N = 290) and children (N = 48, 6-8 years) were able to precisely represent the relative difficulty of discriminating populations and recognized that larger samples were required for populations with greater overlap. Participants were sensitive to the cost of sampling, as well as the perceptual nature of the stimuli. These findings indicate that both young children and adults metacognitively represent their own ability to make discriminations even in the absence of data, and can use this to guide efficient and effective exploration.
数十年的研究表明,一些支持科学探究的认识实践是在儿童早期的直觉推理中出现的。在这里,我们想知道成年人和幼儿是否可以使用直觉统计推理和元认知策略来估计他们可能需要多少信息来解决不同的辨别问题,这表明他们已经具备了“直觉能力分析”的一些基础。在五个实验中,成年人(N=290)和儿童(N=48,6-8 岁)都能够准确地表示区分群体的相对难度,并认识到具有更大重叠的群体需要更大的样本量。参与者对抽样的成本以及刺激的感知性质很敏感。这些发现表明,即使没有数据,年幼的儿童和成年人都可以元认知地表示自己进行辨别能力,并且可以利用这一点来指导高效和有效的探索。