scholarly journals Implicit and Explicit Learning of Temporal Sequences Studied With the Process Dissociation Procedure

2008 ◽  
Vol 100 (2) ◽  
pp. 733-739 ◽  
Author(s):  
Anke Karabanov ◽  
Fredrik Ullén
Keyword(s):  
Implicit Learning ◽  
Serial Recall ◽  
Explicit Knowledge ◽  
Stimulus Presentation ◽  
Explicit Learning ◽  
Process Dissociation ◽  
Process Dissociation Procedure ◽  
Significant Difference ◽  
Implicit And Explicit ◽  
Temporal Sequences

We studied whether temporal sequences can be learned implicitly using a process dissociation procedure (PDP). Participants performed repeated serial recalls of sequential stimuli with a random ordinal structure and fixed temporal structure. Explicit knowledge was evaluated through verbal questions and PDP analysis of two generation tasks (inclusion and exclusion). Participants were divided into two groups: in the Ordinal group, stimulus presentation was visual and the participants were instructed to repeat the ordinal structure; in the Temporal+Ordinal group, stimulus presentation was audio-visual and the participants were instructed to repeat temporal and ordinal structure. We expected predominantly implicit learning in the Ordinal group and explicit learning in the Temporal+Ordinal group. This was supported by two findings. First, a significant difference between inclusion and exclusion performance was seen only in the Temporal+Ordinal group. Second, in both groups, a negative relation was found between the degree of improvement during serial recall and a measure of explicit knowledge in the generation tasks. This relation was independent of the final level of performance during serial recall. These findings suggest that distinct implicit and explicit systems may exist for learning of temporal sequences: implicit learning is gradual and gives rise to knowledge that is inaccessible to conscious control while the explicit system is fast and results in representations that can be used to control performance in inclusion and exclusion tasks.

Implicit versus explicit: An act-r learning perspective

1999 ◽  
Vol 22 (5) ◽  
pp. 785-786 ◽  
Author(s):  
Niels A. Taatgen
Keyword(s):  
Implicit Learning ◽  
Explicit Memory ◽  
Explicit Knowledge ◽  
Cognitive Architecture ◽  
Explicit Learning ◽  
Implicit And Explicit Memory ◽  
The Difference ◽  
Implicit And Explicit ◽  
Implicit And Explicit Learning

Dienes & Perner propose a theory of implicit and explicit knowledge that is not entirely complete. It does not address many of the empirical issues, nor does it explain the difference between implicit and explicit learning. It does, however, provide a possible unified explanation, as opposed to the more binary theories like the systems and the processing theories of implicit and explicit memory. Furthermore, it is consistent with a theory in which implicit learning is viewed as based on the mechanisms of the cognitive architecture, and explicit learning as strategies that exploit these mechanisms.

An algebraic perspective on implicit and explicit knowledge

2016 ◽  
Vol 3 (1) ◽  
pp. 151-162 ◽  
Author(s):  
Omid Khatin Zadeh ◽  
Sedigheh Vahdat ◽  
Babak Yazdani Fazlabadi
Keyword(s):  
Implicit Learning ◽  
Infinite Number ◽  
Explicit Knowledge ◽  
Algebraic Groups ◽  
The Other ◽  
Explicit Learning ◽  
Abstract Group ◽  
Abstract Structure ◽  
The Mind ◽  
Implicit And Explicit

The isomorphic relationship between an infinite number of concrete algebraic groups and the existence of a single abstract group that underlies all these concrete groups is one of the most fundamental subjects in Abstract Algebra. Looking at the process of explicit learning from a mathematical perspective, this article suggests that explicit knowledge of a certain concrete structure can be viewed as consciousness of an abstract algebraic structure that underlies that structure. On the other hand, implicit knowledge can be regarded as knowing something without being conscious of the abstract structure that underlies that knowledge. Explicit knowledge enables the learner to know what features are shared by these concrete groups or structures. These shared features are the defining elements of underlying abstract structure. The abstract structure is constructed in the mind by the suppression of irrelevant data. Therefore, it is suggested that while implicit learning is a receiving-oriented mode of learning, explicit learning is a suppression-oriented one. The sub-process of suppression enables the cognitive system to focus on abstract structure and its defining features, making the process of explicit learning deeper.

Implicit and explicit corrective feedback and feedback exposure conditions

2020 ◽  
Vol 4 (1) ◽  
pp. 3-48
Author(s):  
Takehiro Iizuka ◽  
Kimi Nakatsukasa
Keyword(s):  
Explicit Knowledge ◽  
Corrective Feedback ◽  
Significant Difference ◽  
Oral Corrective Feedback ◽  
Post Test ◽  
Picture Description ◽  
Potential Factors ◽  
Implicit And Explicit ◽  
Instructional Settings ◽  
The Impact

This exploratory study examined the impact of implicit and explicit oral corrective feedback (CF) on the development of implicit and explicit knowledge of Japanese locative particles (activity de, movement ni and location ni) for those who directly received CF and those who observed CF in the classroom. Thirty-six college students in a beginning Japanese language course received either recast (implicit), metalinguistic (explicit) or no feedback during an information-gap picture description activity, and completed a timed picture description test (implicit knowledge) and an untimed grammaticality judgement test (explicit knowledge) in a pre-test, immediate post-test and delayed post-test. The results showed that overall there was no significant difference between CF types, and that CF benefited direct and indirect recipients similarly. Potential factors that might influence the effectiveness of CF, such as instructional settings, complexity of target structures and pedagogy styles, are discussed.

scholarly journals Assumptions of the Process-Dissociation Procedure are Violated in Implicit Sequence Learning

2016 ◽  
Author(s):  
Marius Barth ◽  
Christoph Stahl ◽  
Hilde Haider
Keyword(s):  
Sequence Learning ◽  
Explicit Knowledge ◽  
Implicit Knowledge ◽  
Process Dissociation ◽  
Implicit Sequence Learning ◽  
Generation Task ◽  
Accurate Performance ◽  
Exclusion Condition ◽  
Implicit And Explicit ◽  
Implicit And Explicit Learning

In implicit sequence learning, a process-dissociation (PD) approach has been proposed to dissociate implicit and explicit learning processes. Applied to the popular generation task, participants perform two different task versions: inclusion instructions require generating the transitions that form the learned sequence; exclusion instructions require generating transitions other than those of the learned sequence. Whereas accurate performance under inclusion may be based on either implicit or explicit knowledge, avoiding to generate learned transitions requires controllable explicit sequence knowledge. The PD approach yields separate estimates of explicit and implicit knowledge that are derived from the same task; it therefore avoids many problems of previous measurement approaches. However, the PD approach rests on the critical assumption that the implicit and explicit processes are invariant across inclusion and exclusion conditions. We tested whether the invariance assumptions hold for the PD generation task. Across three studies using first-order as well as second-order regularities, invariance of the controlled process was found to be violated. In particular, despite extensive amounts of practice, explicit knowledge was not exhaustively expressed in the exclusion condition. We discuss the implications of these findings for the use of process-dissociation in assessing implicit knowledge.

Incidental and explicit learning of L2 derivational morphology and the nature of acquired knowledge

2019 ◽  
Vol 40 (6) ◽  
pp. 1377-1404
Author(s):  
Keiichi Ishikawa
Keyword(s):  
Reaction Time ◽  
Explicit Knowledge ◽  
Judgment Task ◽  
Explicit Learning ◽  
Derivational Morphology ◽  
Verbal Reports ◽  
Delayed Effects ◽  
Grammaticality Judgment ◽  
Significant Difference ◽  
Set Up

AbstractThe aim of the current study was to compare both incidental and explicit auditory learning of second language derivational morphology by measuring the accuracy and the reaction time of a grammaticality judgment task. Furthermore, the study was set up to examine the nature of acquired knowledge using subjective measures of awareness during the testing phases and postexperimental verbal reports. The delayed effects of learning were investigated by testing participants immediately after the learning and 1 week later also. The results showed a significant learning effect for the incidental and explicit learners immediately after exposure, but only the explicit learners maintained the learning effects a week later. Both types of learners showed no significant difference in the reaction time. Incidental learners primarily developed implicit knowledge, while explicit learners relied on explicit knowledge to a large extent, part of which became unconscious later. The differences of learning under incidental and explicit learning conditions are discussed in terms of the maintenance of knowledge.

scholarly journals Effect of coordinate frame compatibility on the transfer of implicit and explicit learning across limbs

2016 ◽  
Vol 116 (3) ◽  
pp. 1239-1249 ◽  
Author(s):  
Eugene Poh ◽  
Timothy J. Carroll ◽  
Jordan A. Taylor
Keyword(s):  
Implicit Learning ◽  
Neural Representation ◽  
Coordinate Frame ◽  
Explicit Learning ◽  
Verbal Reports ◽  
Visuomotor Rotation ◽  
Left And Right ◽  
Task Conditions ◽  
Opposite Limb ◽  
Implicit And Explicit

Insights into the neural representation of motor learning can be obtained by investigating how learning transfers to novel task conditions. We recently demonstrated that visuomotor rotation learning transferred strongly between left and right limbs when the task was performed in a sagittal workspace, which afforded a consistent remapping for the two limbs in both extrinsic and joint-based coordinates. In contrast, transfer was absent when performed in horizontal workspace, where the extrinsically defined perturbation required conflicting joint-based remapping for the left and right limbs. Because visuomotor learning is thought to be supported by both implicit and explicit forms of learning, however, it is unclear to what extent these distinct forms of learning contribute to interlimb transfer. In this study, we assessed the degree to which interlimb transfer, following visuomotor rotation training, reflects explicit vs. implicit learning by obtaining verbal reports of participants' aiming direction before each movement. We also determined the extent to which these distinct components of learning are constrained by the compatibility of coordinate systems by comparing transfer between groups of participants who reached to targets arranged in the horizontal and sagittal planes. Both sagittal and horizontal conditions displayed complete transfer of explicit learning to the untrained limb. In contrast, transfer of implicit learning was incomplete, but the sagittal condition showed greater transfer than the horizontal condition. These findings suggest that explicit strategies developed with one limb can be fully implemented in the opposite limb, whereas implicit transfer depends on the degree to which new sensorimotor maps are spatially compatible for the two limbs.

Re-evaluating Dissociations between Implicit and Explicit Category Learning: An Event-related fMRI Study

2011 ◽  
Vol 23 (7) ◽  
pp. 1697-1709 ◽  
Author(s):  
Todd M. Gureckis ◽  
Thomas W. James ◽  
Robert M. Nosofsky
Keyword(s):  
Implicit Learning ◽  
Category Learning ◽  
Neural Activity ◽  
Incidental Learning ◽  
Brain Activity ◽  
Neural Systems ◽  
Explicit Learning ◽  
Learning Condition ◽  
Perceptual Category Learning ◽  
Implicit And Explicit

Recent fMRI studies have found that distinct neural systems may mediate perceptual category learning under implicit and explicit learning conditions. In these previous studies, however, different stimulus-encoding processes may have been associated with implicit versus explicit learning. The present design was aimed at decoupling the influence of these factors on the recruitment of alternate neural systems. Consistent with previous reports, following incidental learning in a dot-pattern classification task, participants showed decreased neural activity in occipital visual cortex (extrastriate region V3, BA 19) in response to novel exemplars of a studied category compared to members of a foil category, but did not show this decreased neural activity following explicit learning. Crucially, however, our results show that this pattern was primarily modulated by aspects of the stimulus-encoding instructions provided at the time of study. In particular, when participants in an implicit learning condition were encouraged to evaluate the overall shape and configuration of the stimuli during study, we failed to find the pattern of brain activity that has been taken to be a signature of implicit learning, suggesting that activity in this area does not uniquely reflect implicit memory for perceptual categories but instead may reflect aspects of processing or perceptual encoding strategies.

EPILOGUE

2021 ◽  
Vol 43 (3) ◽  
pp. 692-697
Author(s):  
Robert DeKeyser ◽  
Shaofeng Li
Keyword(s):  
Convergent Validity ◽  
Explicit Knowledge ◽  
Outcome Variable ◽  
Future Research ◽  
Explicit Learning ◽  
Language Aptitude ◽  
Language Research ◽  
Instruction Type ◽  
Implicit And Explicit ◽  
Implicit And Explicit Learning

AbstractIn this commentary, we summarize the findings of the seven included studies that examined implicit language aptitude from various perspectives and highlight issues to be resolved in the validation of this new construct in second language research. We start by providing an overview of the contributions of the studies. We then identify the lack of convergent validity of the measures of implicit aptitude reported in the included studies and problematize the equally varied nature of the measurement of implicit knowledge—the outcome variable of aptitude research—and related concepts. In particular, by drawing on empirical evidence and theoretical claims, we attempt to clarify the relationships between implicit and explicit knowledge, implicit and explicit learning, and implicit and explicit instruction. Next, we draw attention to the interactions reported by the included studies between aptitude and outcome measures and between aptitude and instruction type, emphasizing the value and importance of interactional research. We conclude by making recommendations for future research.

An Investigation of Learning during Propofol Sedation and Anesthesia Using the Process Dissociation Procedure

2000 ◽  
Vol 93 (6) ◽  
pp. 1418-1425 ◽  
Author(s):  
Clare L. Stapleton ◽  
Jackie Andrade
Keyword(s):  
Explicit Memory ◽  
Memory Performance ◽  
Venous Blood ◽  
Word List ◽  
Process Dissociation ◽  
Process Dissociation Procedure ◽  
Completion Test ◽  
Implicit And Explicit Memory ◽  
Word Stem Completion ◽  
Implicit And Explicit

Background Many studies have shown that patients may remember words learned during apparently adequate anesthesia. Performance on memory tests may be influenced by explicit and implicit memory. We used the process dissociation procedure to estimate implicit and explicit memory for words presented during sedation or anesthesia. Methods We investigated intraoperative learning in 72 women undergoing pervaginal oocyte collection during propofol and alfentanil infusion. One word list was played once before infusion, another was played 10 times during surgery. Venous blood was taken for propofol assay at the end of the intraoperative list. Behavioral measures of anesthetic depth (eyelash reflex, hand squeeze response to command) were recorded and used to adjust the dose of anesthetic where clinically appropriate. On recovery, memory was assessed using an auditory word stem completion test with inclusion and exclusion instructions. Results The mean blood propofol concentration was 2.5 microg/ml (median, 2.3 microg/ml; range, 0.7-6.1 microg/ml). Mean alfentanil dose was 2.1 mg (median, 2.0 mg; range, 1.2-3.4 mg). Comparison of target and distractor hits in the inclusion condition showed memory for preoperative words only. However, the process dissociation procedure estimates showed explicit (mean, 0.18; P < 0.001) and implicit (mean, 0.05; P < 0.05) memory for the preoperative words, and a small amount of explicit memory for the intraoperative words (mean, 0.06; 95% confidence interval, 0.01-0.10). Memory performance did not differ between the 17 patients who consistently responded to command and eyelash reflex and the 32 patients who remained unresponsive. Blood propofol concentration and alfentanil dose did not correlate with memory for the intraoperative list. Conclusions There was no unprompted recall of surgery, but the process dissociation procedure showed memory for words presented during surgery. This memory was apparently explicit but did not correlate with the measures of depth of anesthesia used.

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