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采用组块模式:在连续序列反应时任务中是否存在组块学习的证据?

Taking patterns for chunks: is there any evidence of chunk learning in continuous serial reaction-time tasks?

作者信息

Jiménez Luis

机构信息

Facultad de Psicología, Campus Sur, Universidad de Santiago, 15782, Santiago, Spain.

出版信息

Psychol Res. 2008 Jul;72(4):387-96. doi: 10.1007/s00426-007-0121-7. Epub 2007 Jul 24.

Abstract

When exposed to a regular sequence, people learn to exploit its predictable structure. There have been two major ways of thinking about learning under these conditions: either as the acquisition of general statistical information about the transition probabilities displayed by the sequence or as a process of memorizing and using separate chunks that can later become progressively composed with extended practice. Even though chunk learning has been adopted by some theories of skill acquisition as their main building block, the evidence for chunk formation is scarce in some areas, and is especially so in the continuous serial reaction-time (SRT) task, which has become a major research tool in the study of implicit learning. This article presents a reappraisal, replication and extension of an experiment that stands so far as one of the few alleged demonstrations of chunk learning in the SRT task (Koch and Hoffmann, Psychological Res., 63:22-35, 2000). It shows that the effects which were taken as evidence for chunk learning can indeed be obtained before any systematic training and thus surely reflect a preexistent tendency rather than a learned outcome. Further analyses of the effects after extended practice confirm that this tendency remains essentially unchanged over continuous training unlike what could be expected from a chunk-based account of sequence learning.

摘要

当接触到一个规则序列时,人们会学会利用其可预测的结构。在这些条件下,有两种主要的学习方式:一种是获取关于序列所显示的转移概率的一般统计信息,另一种是记忆和使用单独的组块,随着练习的增加,这些组块后来可以逐渐组合起来。尽管组块学习已被一些技能习得理论作为其主要基石,但在某些领域,组块形成的证据很少,在连续序列反应时(SRT)任务中尤其如此,该任务已成为内隐学习研究中的一种主要研究工具。本文对一项实验进行了重新评估、重复和扩展,该实验是迄今为止在SRT任务中为数不多的所谓组块学习示范之一(科赫和霍夫曼,《心理学研究》,63:22 - 35,2000)。研究表明,那些被视为组块学习证据的效应实际上可以在任何系统训练之前就获得,因此肯定反映的是一种预先存在的倾向,而不是学习的结果。对长时间练习后的效应进行的进一步分析证实,与基于组块的序列学习观点所预期的情况不同,这种倾向在连续训练过程中基本保持不变。

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