Literature DB >> 17010570

The interaction of implicit learning, explicit hypothesis testing learning and implicit-to-explicit knowledge extraction.

Ron Sun1, Xi Zhang, Paul Slusarz, Robert Mathews.   

Abstract

To further explore the interaction between the implicit and explicit learning processes in skill acquisition (which have been tackled before, e.g. in [Sun, R., Merrill, E., & Peterson, T. (2001). From implicit skill to explicit knowledge: A bottom-up model of skill learning. Cognitive Science, 25(2), 203-244; Sun, R., Slusarz, P., & Terry, C. (2005). The interaction of the explicit and the implicit in skill learning: A dual-process approach. Psychological Review, 112(1), 159-192]), this paper explores details of the interaction of different learning modes: implicit learning, explicit hypothesis testing learning, and implicit-to-explicit knowledge extraction. Contrary to the common tendency in the literature to study each type of learning in isolation, this paper highlights the interaction among them and various effects of the interaction on learning, including the synergy effect. This work advocates an integrated model of skill learning that takes into account both implicit and explicit learning processes; moreover, it also uniquely embodies a bottom-up (implicit-to-explicit) learning approach in addition to other types of learning. The paper shows that this model accounts for various effects in the human behavioural data from the psychological experiments with the process control task, in addition to accounting for other data in other psychological experiments (which has been reported elsewhere). The paper shows that to account for these effects, implicit learning, bottom-up implicit-to-explicit extraction and explicit hypothesis testing learning are all needed.

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Year:  2006        PMID: 17010570     DOI: 10.1016/j.neunet.2006.07.002

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  5 in total

1.  Vegetative state: efforts to curb misdiagnosis.

Authors:  Andrea Bosco; Giulio E Lancioni; Marta Olivetti Belardinelli; Nirbhay N Singh; Mark F O'Reilly; Jeff Sigafoos
Journal:  Cogn Process       Date:  2009-12-31

2.  Individual differences in implicit motor learning: task specificity in sensorimotor adaptation and sequence learning.

Authors:  Alit Stark-Inbar; Meher Raza; Jordan A Taylor; Richard B Ivry
Journal:  J Neurophysiol       Date:  2016-11-02       Impact factor: 2.714

3.  Learning as a possible sign of non-reflective consciousness in persons with a diagnosis of vegetative state and pervasive motor impairment.

Authors:  Andrea Bosco; Giulio E Lancioni; Marta Olivetti Belardinelli; Nirbhay N Singh; Mark F O'Reilly; Jeff Sigafoos
Journal:  Cogn Process       Date:  2009-08-20

4.  Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning.

Authors:  Andrea Alamia; Victor Gauducheau; Dimitri Paisios; Rufin VanRullen
Journal:  Sci Rep       Date:  2020-12-17       Impact factor: 4.379

5.  Increased Performance Variability as a Marker of Implicit/Explicit Interactions in Knowledge Awareness.

Authors:  Juliana Yordanova; Roumen Kirov; Vasil Kolev
Journal:  Front Psychol       Date:  2015-12-23
  5 in total

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