任务复杂程度对内隐-外显学习关系的影响

本研究在糖生产任务实验中考察了任务复杂程度对内隐和外显学习关系的影响.实验发现:在简单任务中.内隐与外显学习共同存在并协同作用;任务复杂程度的增加对内隐和外显学习都有损害作用;任务复杂程度影响着内隐与外显学习的贡献率,随着任务难度的增加,内隐学习的贡献率上升.     

内隐与外显学习的交互关系——基于复杂系统控制的实验研究

作为两种截然不同的学习方式,内隐与外显学习的区别性研究引起了诸多关注,而两者的关联及协同作用研究较少.本研究使用复杂系统控制范式来考察内隐与外显学习的相瓦关系.实验发现:内隐与外显学习可以共同存在、协同作用;任务复杂程度的增加对内隐和外显学习都有损害作用;随着任务难度的增加,内隐学习的贡献率上升;内隐与外显学习在练习过程中都存在高原现象;随着练习的增加,中等难度任务中内隐学习与外显学习表现出分离趋势.     

内隐学习和外显学习关系评述

文章从内隐学习与外显学习的区别、联系以及相互作用三方面,对这两个概念集合间的关系进行了辨析。最初,内隐学习这一概念的提出,是源于其与外显学习在现象学、实验操作、神经生理学以及学习机制等方面的诸多不同。近年来,虽然内隐学习的独立地位已被充分确立,但是,也有越来越多的证据表明,内隐学习和外显学习之间的独立性是相对的,它们之间存在紧密的联系和相互作用,任何一个学习任务都是内隐和外显学习的结合物。最后,作者结合自己的实验研究进一步提出了,内隐学习和外显学习之间相互权衡的动态关系。     

外显知识对运动技能内隐学习的影响

总结了近年来关于外显知识对运动技能内隐学习影响的研究。提出外显知识对内隐学习存在影响,但其作用的大小及其性质取决于外显知识的呈现时间、内容、内隐规则的可觉察程度、认知负荷以及压力等因素。提供外显知识既可能有利于任务的完成,也可能激发与任务规则无关的注意过程,阻碍内隐学习。外显知识可影响行为,却不一定能被有意识地提取。外显知识对学习者的认知过程和动作模式均会产生影响。     

CLARION模型：内隐与外显技能学习的整合

CLARION是一个与其它认知理论明显不同的计算认知模型,它可用来研究内隐和外显学习交互作用的各种定量数据。通过对经典内隐学习任务（如系列反应时任务、加工控制任务及其他高级认知加工任务）的模拟实验,在与人类实验数据的拟合上,CLARION展示出比以往认知模型更好的性能。它主要有两个特征：一是对内隐学习和外显学习的整合,二是对自下而上加工的强调。近几年,CLARION模型在理论和实践上都有较大进展。文章简要评述了CLARION模型,并围绕此模型介绍了学界有关内隐和外显加工交互作用的探索     

序列反应时任务中内隐和外显学习表征方式的实验研究

采用改进的序列反应时任务,探讨内隐和外显学习的知识表征方式,发现内隐组和外显组被试都习得了一定的序列规则.内隐组对标准字母的反应显著快于知觉偏差,而后者则又显著快于对动觉偏差字母的反应;外显组对标准字母的反应显著快于知觉偏差和动觉偏差,而后两者之间则没有区别.以上结果表明外显和内隐学习中知觉表征和动觉表征都起作用,不过在内隐学习中动觉表征起的作用更大.     

同步内隐／外显序列学习：事件相关的fMRI的初步研究

本文利用事件相关fMRI研究探讨对于内隐和外显学习在脑区激活上的差异.实验采用同步内隐/外显学习序列,以有色的形状作为刺激材料.要求被试对于刺激的颜色做选择反应,并在颜色消失后找出形状的内在规则.颜色和图形序列分别采用两个独立的马尔可夫链,即下一个图形的颜色或者形状有70%的可能服从序列规则.行为数据显示被试习得了外显和内隐的规则,fMRI成像主要比较内隐和外显学习在学习过程和知识运用上脑区激活的差异.结果发现,与内隐学习柑比,外显学习在额叶的激活更为显著.而且,内隐学习和外显学习在视觉皮层的激活出现分离,内隐学习中枕叶的激活减弱,而外显学习中枕叶的激活增加.     

不同内隐学习任务在不同认知风格个体上的成绩差异

通过两个实验,考察了不同认知风格大学生在人工语法任务、序列反应时任务中的成绩差异性表现。结果表明,场独立与场依存者在两类任务中内隐学习量的差异性表现一致,均无显著差异。进一步比较两种认知风格大学生在人工语法范式下内隐、外显及内隐外显协同学习类型中的差异表现时发现,场独立者的协同学习成绩优于单独的内隐学习和外显学习,且优于场依存者的协同学习。     

中小学生内隐序列学习的机制

内隐序列学习是内隐学习的一种重要形式。该文探讨了中小学生内隐序列学习的心理机制及次级任务影响内隐序列学习的实质。结果表明,中小学生对不同结构序列的内隐学习是由一个单一的学习机制完成的,学习的过程即是形成序列内相邻元素间联合的过程;另外,注意能量并不是内隐序列学习的重要影响因素,次级任务影响内隐序列学习并不是因为其分散了注意能量,而是破坏了对序列元素的组织。     

序列长度和统计结构对序列位置内隐学习的影响

除人工语法之外,序列反应时任务也是内隐学习研究最常用的程式之一。在使用序列反应时任务进行内隐学习研究时,有研究者发现,类似于外显学习,序列位置内隐学习中序列规则的长度越长,学习成绩越差;而Stlader则在研究中发现,序列位置内隐学习中所学序列的统计结构会极大地影响被试内隐学习成绩,统计结构越高学习效果越好。     

Is implicit learning perceptually inflexible? New evidence using a simple cued reaction-time task

Considerable research has been devoted to investigating learning without awareness. Burke and Roodenrys [Burke, D., & Roodenrys, S. (2000). Implicit learning in a simple cued reaction-time task. Learning and Motivation 31, 364–380] developed a simple learning task in which a cue shape predicts the arrival of a target shape (to which subjects respond) in a sequence of rapidly presented shapes, and found that all subjects responded faster to cued targets than to uncued targets, even those classified as unaware of the cue–target relationship. Two experiments were conducted to examine the perceptual flexibility of implicit (and explicit) learning using the paradigm developed by Burke and Roodenrys (2000). Perceptual flexibility was examined by altering the perceptual features of the cue shape. The results of the first experiment indicated the implicit, but not explicit, learning that occurs in this paradigm is perceptually inflexible. However, the second experiment indicated that perceptually flexible implicit learning can be encouraged by varying the nature of the experimental stimuli. These experiments therefore provide support for processing accounts of transfer.     

内隐序列学习不受注意负荷的影响:来自眼动的证据

利用眼动记录方法,采用内隐序列学习的观察范式,通过操纵注意负荷高和低,考察内隐序列学习是否需要注意参与。结果发现:(1)在高、低注意负荷条件下都出现了内隐序列学习效应;(2)高注意负荷条件下眼跳反应时长于低注意负荷条件下的;(3)高、低注意负荷序列内隐序列学习量差异不显著,表明内隐序列学习不受注意负荷影响。     

内隐序列学习与注意负荷关系的实验研究

采用2(注意负荷:高、低)单因素被试内实验设计,以18名在校大学生为被试,运用行为实验及事件相关电位技术,对内隐序列学习是否需要注意负荷的参与进行实验研究。结果发现:(1)在高、低注意负荷条件下都出现了内隐序列学习效应;(2)高注意负荷序列探测刺激诱发的P1、N1波幅显著大于低注意负荷序列探测刺激诱发的,表明高注意负荷条件下需要更多的注意;(3)高、低注意负荷序列内隐序列学习量差异不显著,表明内隐序列学习不受注意负荷影响。     

Generalized lessons about sequence learning from the study of the serial reaction time task

Over the last 20 years researchers have used the serial reaction time (SRT) task to investigate the nature of spatial sequence learning. They have used the task to identify the locus of spatial sequence learning, identify situations that enhance and those that impair learning, and identify the important cognitive processes that facilitate this type of learning. Although controversies remain, the SRT task has been integral in enhancing our understanding of implicit sequence learning. It is important, however, to ask what, if anything, the discoveries made using the SRT task tell us about implicit learning more generally. This review analyzes the state of the current spatial SRT sequence learning literature highlighting the stimulus-response rule hypothesis of sequence learning which we believe provides a unifying account of discrepant SRT data. It also challenges researchers to use the vast body of knowledge acquired with the SRT task to understand other implicit learning literatures too often ignored in the context of this particular task. This broad perspective will make it possible to identify congruences among data acquired using various different tasks that will allow us to generalize about the nature of implicit learning.     

Explicit Awareness does not Modulate Retrograde Interference Effects in Sequence Learning

Motor sequences are learned explicitly or implicitly based on conscious awareness of the sequence. Interference happens when two sequences are learned successively. Here, we aimed to determine whether implicit and explicit sequence learning are affected differently by retrograde interference. Young healthy volunteers participated in either a control or interference group and either an explicit or implicit learning condition. We used a modified serial reaction time task to induce sequence learning and control awareness. Results showed that the overall amount of sequence learning was greater in the explicit condition compared to implicit. However, sequence learning was equally susceptible to retrograde interference under either condition. We conclude that although susceptible to interference, explicit awareness improves overall sequence learning compared to implicit conditions.     

注意在内隐序列学习中作用的研究述评

探索次级任务对序列学习的作用实质在对内隐序列学习的研究中占有重要地位。关于次级的计音任务对序列学习的干扰作用的实质 ,主要有四种主要的观点 :注意能量说、组织说、短时记忆说和抑制表现说。文章简要介绍了这些观点并对其各自的实验证据进行了总结和分析 ,并对最近可能进行的研究进行了展望。     

Implicit visual learning: How the task set modulates learning by determining the stimulus–response binding

Implicit learning is one of the most fundamental learning mechanisms that enables humans to adapt to regularities inherent in the environment. Despite its high flexibility, it depends on constraints, such as selective attention. Here, we focused on the stimulus-to-response binding which defines the dimensions of the stimuli and the responses participants attend to. In a serial reaction time task with a visual sequence, we investigated whether this stimulus–response binding influences the amount of sequence learning. The results of Experiments 1 and 2 showed that visual sequence learning is reduced when participants do not attend to the relevant response dimension. Furthermore, the findings of Experiment 3 suggest that attention to the relevant response dimension increased the development of explicit knowledge without affecting implicit knowledge. This latter finding is difficult to reconcile with the assumption that explicit learning results from the gradual strengthening of sequence representations.     

Implicit sequence learning with competing explicit cues.

Previous research has shown that the expression of implicit sequence learning is eliminated in a choice reaction time task when an explicit cue allows participants to accurately predict the next stimulus (Cleeremans, 1997), but that two contingencies predicting the same outcome can be learned and expressed simultaneously when both of them remain implicit (Jiménez & Méndez, 1999). Two experiments tested the hypothesis that it is the deliberate use of explicit knowledge that produces the inhibitory effects over the expression of implicit sequence learning. However, the results of these experiments do not support this hypothesis, rather showing that implicit learning is acquired and expressed regardless of the influence of explicit knowledge. These results are interpreted as reinforcing the thesis about the automatic nature of both the acquisition and the expression of implicit sequence learning. The contradictory results reported by Cleeremans are attributed to a floor effect derived from the use of a special type of explicit cue.