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首页> 外文期刊>Memory & cognition >Do people use category-learning judgments to regulate their learning of natural categories?
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Do people use category-learning judgments to regulate their learning of natural categories?

机译:人们是否使用类别学习判断来规范他们的自然类别的学习?

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Although research has established that people can accurately judge how well they have learned categories, no research has examined whether people use their category-learning judgments (CLJs) to regulate their restudy of natural categories. Thus, in five experiments we investigated the relationship between people's CLJs and selections of categories for restudy. Participants first attempted to learn natural categories (bird families; e.g., finches, grosbeaks, and warblers) so that they could categorize new exemplars on a final test. After this initial study phase, participants made a CLJ for each category and then selected a subset of the categories for restudy. Across experiments, we also manipulated several variables (e.g., selecting either three or nine categories, or obtaining 30% vs. 80% performance on the final test) that were expected to influence restudy selections. However, the manipulations typically had minimal impact. More important, in all experiments we found an unexpected outcome: Some participants tended to select the categories they judged to be most well learned for restudy, and others tended to select those judged to be least well learned. We discovered these qualitative differences in the use of CLJs to make restudy selections by using post-hoc analyses in Experiments 1a and 1b, and hence we sought to (a) replicate them in Experiments 2, 3, and 4 and (b) provide preliminary evidence regarding factors that can (vs. cannot) account for them. Most important, evidence across all of the experiments supported the conclusion that people do use their CLJs to select categories for restudy.
机译:虽然研究已经确定人们可以准确地判断他们吸取的类别,但没有研究人们是否使用他们的类别学习判断(CLJS)来规范自然类别的重新调整。因此,在五个实验中,我们调查了人民CLJ的关系以及复制的类别。参与者首次尝试学习自然类别(鸟家;例如,芬哲,Grobeaks和Warblbers),以便他们可以在最终测试中对新的示例进行分类。在此初始研究阶段之后,参与者为每个类别进行了CLJ,然后选择了Restudy类别的子集。在实验中,我们还操纵了几种变量(例如,选择三个或九个类别,或在最终测试中获得30%的50%性能),这些可能会影响Restudy选择。然而,操纵通常影响最小。更重要的是,在所有实验中,我们发现了一个意想不到的结果:一些参与者倾向于选择他们判断的类别,以便最熟悉的Restudy学习,而其他人则倾向于选择被评判到最不高的学习的人。我们发现了通过在实验1a和1b中使用HOC分析来使CLJS进行RESUDY选择的这些定性差异,因此我们寻求(a)在实验2,3和4和(b)中重复它们提供初步有关可能(与不能)占他们的因素的证据。最重要的是,所有实验中的证据都支持了人们使用其CLJS选择Restudy类别的结论。

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