Literature DB >> 18938278

How does prior knowledge affect implicit and explicit concept learning?

Eleni Ziori1, Zoltán Dienes.   

Abstract

Two experiments investigated the effect of prior knowledge on implicit and explicit learning. Implicit as opposed to explicit learning is sometimes characterized as unselective or purely statistical. During training, one group of participants was presented with category exemplars whose features could be tied together by integrative knowledge, whereas another group saw category exemplars with unrelated feature combinations. Half of the participants in each group learned these categories under a secondary-task condition (meant to discourage explicit learning), and the remaining half performed the categorization task under a single-task condition (meant to favour explicit learning). In a test phase, participants classified only the individual features of the training exemplars. Secondary- as opposed to single-task conditions impaired explicit but not implicit knowledge (as determined by subjective measures). Importantly, prior knowledge resulted in increased amounts of both implicit and explicit knowledge.

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Year:  2008        PMID: 18938278     DOI: 10.1080/17470210701255374

Source DB:  PubMed          Journal:  Q J Exp Psychol (Hove)        ISSN: 1747-0218            Impact factor:   2.143


  6 in total

1.  Explicit instruction of rules interferes with visuomotor skill transfer.

Authors:  Kanji Tanaka; Katsumi Watanabe
Journal:  Exp Brain Res       Date:  2017-03-08       Impact factor: 1.972

2.  Effects of learning duration on implicit transfer.

Authors:  Kanji Tanaka; Katsumi Watanabe
Journal:  Exp Brain Res       Date:  2015-06-13       Impact factor: 1.972

3.  Effects of learning with explicit elaboration on implicit transfer of visuomotor sequence learning.

Authors:  Kanji Tanaka; Katsumi Watanabe
Journal:  Exp Brain Res       Date:  2013-06-01       Impact factor: 1.972

4.  Bidirectional transfer between metaphorical related domains in implicit learning of form-meaning connections.

Authors:  Xiuyan Guo; Fengying Li; Zhiliang Yang; Zoltan Dienes
Journal:  PLoS One       Date:  2013-07-03       Impact factor: 3.240

5.  Artificial grammar learning of melody is constrained by melodic inconsistency: Narmour's principles affect melodic learning.

Authors:  Martin Rohrmeier; Ian Cross
Journal:  PLoS One       Date:  2013-07-09       Impact factor: 3.240

6.  Of Pandemics and Zombies: The Influence of Prior Concepts on COVID-19 Pandemic-Related Behaviors.

Authors:  Jessecae K Marsh; Nick D Ungson; Dominic J Packer
Journal:  Int J Environ Res Public Health       Date:  2021-05-14       Impact factor: 3.390

  6 in total

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