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Metacognitive monitoring during category learning: how success affects future behaviour

机译:类别学习中的元认知监控:成功如何影响未来的行为

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The purpose of this study was to see how people perceive their own learning during a category learning task, and whether their perceptions matched their performance. In two experiments, participants were asked to learn natural categories, of both high and low variability, and make category learning judgements (CLJs). Variability was manipulated by varying the number of exemplars and the number of times each exemplar was presented within each category. Experiment 1 showed that participants were generally overconfident in their knowledge of low variability families, suggesting that they considered repetition to be more useful for learning than it actually was. Also, a correct trial, for a particular category, was more likely to occur if the previous trial was correct. CLJs had the largest increase when a trial was correct following an incorrect trial and the largest decrease when an incorrect trial followed a correct trial. Experiment 2 replicated these results, but also demonstrated that global CLJ ratings showed the same bias towards repetition. These results indicate that we generally identify success as being the biggest determinant of learning, but do not always recognise cues, such as variability, that enhance learning.
机译:这项研究的目的是了解人们在类别学习任务中如何看待自己的学习,以及他们的看法是否与他们的表现相匹配。在两个实验中,要求参与者学习高变异性和低变异性的自然类别,并做出类别学习判断(CLJ)。通过改变示例数量和每个示例在每个类别中的展示次数来控制变异性。实验1表明,参与者通常对低变异性家庭的知识过于自信,这表明他们认为重复学习比实际学习更有用。另外,如果先前的试验是正确的,则针对特定类别的正确试验更有可能发生。当错误的审判之后正确的审判使CLJ的增加最大,而在错误的审判之后正确的审判使CLJ的减少最大。实验2复制了这些结果,但也证明了整体CLJ评分显示出对重复的相同偏见。这些结果表明,我们通常将成功视为学习的最大决定因素,但并不总是意识到提高学习的线索(例如可变性)。

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