相关维度数量对两种结构类别学习的影响

The Influence of the Relevant Dimension Number on the Learning in Two Category Structuresv

在多重系统理论研究基础上,运用即时反馈训练范式,以大学生为被试,考查相关维度数量对基于规则和信息整合两种结构的类别学习的影响。结果表明:(1)相关维度数量是影响类别学习的重要因素,基于规则单维度结构的学习显著优于信息整合结构和基于规则双维度结构的学习,基于规则双维度结构的学习与信息整合结构的学习没有显著差异。(2)反应策略受到规则复杂性的影响,当类别结构中隐含的规则比较简单时,学习者使用规则策略;当类别结构中隐含的规则比较复杂时,学习者难以掌握规则,就会使用相似性策略。研究结果支持"难度观",而不支持多重系统理论。

On the basis of multiple systems theory in category learning, the present study explored the effect of the relevant dimension number on the learning in two category structures on the immediate feedback condition,with undergraduate students as subjects. The resuits showed that the unidimensional rule-based category learning was better than the information integration and two-dimensional rule-based category learning, and the two-dimensional rule-based structure category learning was almost equal to the informationintegration category learning after matching the number of relevant dimension. Further, the number of relevant dimension was a factor influencing category learning, and the response strategies were affected by the rule complexity. The participants used rule strategies when the rule was simple, whereas they used similarity strategies when the rule was complex. The major findings here have provided support for the difficulty approaches to category learning and argued against the multiple-systems approaches.