反馈复杂性对家族相似性类别学习的影响

How Feedback Complexity Affect Family Resemblance Category Learning

以往研究倾向以人工概念为材料,探究反馈时间和反馈性质对类别学习的影响。本研究以家族相似性结构为材料,采用"学习—迁移"范式探讨了反馈复杂性对类别学习的影响。将40名被试随机分为两组,20人接受复杂反馈,20人接受简单反馈,结果发现在学习家族相似性材料时,两种反馈复杂性条件下学习效果差异不显著,表明被试在本研究操纵的两种复杂性条件下使用了相似的学习策略,加工深度接近,家族相似性类别学习可能是内隐程序学习。

Researches of feedback time and nature effect in category learning by using artificial category learning play an important role in understanding feedback effect in human category learning. The research used family resemblance category structure and Study-Transfer Paradigm to study feedback complexity effect on category learning. Subjects were distributed into complex feedback group and simple feedback group randomly. Each group had 20 subjects. The result showed that there was no significant difference in learning outcomes between two learning condition in family resemblance category structure. So we concluded that subjects used similar study strategy and had parallel processing depth in two groups. It might show that the mechanism of family resemblance category structure was implicit learning.