Literature DB >> 1834770

Implicit and explicit learning: individual differences and IQ.

A S Reber1, F F Walkenfeld, R Hernstadt.   

Abstract

We explored the degree to which individual differences in performance were observed in a group of subjects who worked with two different tasks: one implicit and one explicit. The implicit task was a standard artificial grammar-learning task; the explicit was a series-completion problem-solving task. Substantial individual differences were found between subjects on the explicit task; relatively small individual differences were found on the implicit task. Moreover, performance on the explicit task correlated strongly with intelligence quotient, but performance on the implicit task did not. Data from previous experiments were also found to be in agreement with these results. The findings are presented in the context of a general theory of implicit learning proposed recently by Reber (1989a, in press) that derives from considerations of the evolution of cognitive processes. This evolutionary model argues that unconscious, implicit induction systems are evolutionarily older and antedate conscious, explicit learning processes, and that this antiquity carries with it particular patterns of function that differentiate implicit processes from explicit processes.

Mesh:

Year:  1991        PMID: 1834770     DOI: 10.1037//0278-7393.17.5.888

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  33 in total

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Authors:  M A D'Eredita; W J Hoyer
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2.  Brief report: a comparison of statistical learning in school-aged children with high functioning autism and typically developing peers.

Authors:  Jessica Mayo; Inge-Marie Eigsti
Journal:  J Autism Dev Disord       Date:  2012-11

3.  Implicit learning in children with spelling disability: evidence from artificial grammar learning.

Authors:  Elena Ise; Carolin J Arnoldi; Jürgen Bartling; Gerd Schulte-Körne
Journal:  J Neural Transm (Vienna)       Date:  2012-06-10       Impact factor: 3.575

4.  Visual statistical learning is related to natural language ability in adults: An ERP study.

Authors:  Jerome Daltrozzo; Samantha N Emerson; Joanne Deocampo; Sonia Singh; Marjorie Freggens; Lee Branum-Martin; Christopher M Conway
Journal:  Brain Lang       Date:  2017-01-10       Impact factor: 2.381

5.  Using immediate memory span to measure implicit learning.

Authors:  Jeffrey D Karpicke; David B Pisoni
Journal:  Mem Cognit       Date:  2004-09

Review 6.  Combining fMRI and behavioral measures to examine the process of human learning.

Authors:  Elisabeth A Karuza; Lauren L Emberson; Richard N Aslin
Journal:  Neurobiol Learn Mem       Date:  2013-09-25       Impact factor: 2.877

7.  Fluid intelligence and working memory support dissociable aspects of learning by physical but not observational practice.

Authors:  Dace Apšvalka; Emily S Cross; Richard Ramsey
Journal:  Cognition       Date:  2019-05-14

8.  Tests of a Dual-systems Model of Speech Category Learning.

Authors:  W Todd Maddox; Bharath Chandrasekaran
Journal:  Biling (Camb Engl)       Date:  2014-10-01

9.  Learning in autism: implicitly superb.

Authors:  Dezso Nemeth; Karolina Janacsek; Virag Balogh; Zsuzsa Londe; Robert Mingesz; Marta Fazekas; Szilvia Jambori; Izabella Danyi; Agnes Vetro
Journal:  PLoS One       Date:  2010-07-22       Impact factor: 3.240

10.  Phonological and graphotactic influences on spellers' decisions about consonant doubling.

Authors:  Rebecca Treiman; Sloane Wolter
Journal:  Mem Cognit       Date:  2018-05
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