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Effect of chunk strength on the performance of children with developmental dyslexia on artificial grammar learning task may be related to complexity

Effect of chunk strength on the performance of children with developmental dyslexia on artificial... There’s a long held view that chunks play a crucial role in artificial grammar learning performance. We compared chunk strength influences on performance, in high and low topological entropy (a measure of complexity) grammar systems, with dyslexic children, age-matched and reading-level-matched control participants. Findings show that age-matched control participants’ performance reflected equivalent influence of chunk strength in the two topological entropy conditions, as typically found in artificial grammar learning experiments. By contrast, dyslexic children and reading-level-matched controls’ performance reflected knowledge of chunk strength only under the low topological entropy condition. In the low topological entropy grammar system, they appeared completely unable to utilize chunk strength to make appropriate test item selections. In line with previous research, this study suggests that for typically developing children, it is the chunks that are attended during artificial grammar learning and create a foundation on which implicit associative learning mechanisms operate, and these chunks are unitized to different strengths. However, for children with dyslexia, it is complexity that may influence the subsequent memorability of chunks, independently of their strength. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Dyslexia Springer Journals

Effect of chunk strength on the performance of children with developmental dyslexia on artificial grammar learning task may be related to complexity

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References (75)

Publisher
Springer Journals
Copyright
Copyright © 2017 by The International Dyslexia Association
Subject
Linguistics; Language and Literature; Psycholinguistics; Education, general; Neurology
ISSN
0736-9387
eISSN
1934-7243
DOI
10.1007/s11881-017-0141-y
pmid
28409401
Publisher site
See Article on Publisher Site

Abstract

There’s a long held view that chunks play a crucial role in artificial grammar learning performance. We compared chunk strength influences on performance, in high and low topological entropy (a measure of complexity) grammar systems, with dyslexic children, age-matched and reading-level-matched control participants. Findings show that age-matched control participants’ performance reflected equivalent influence of chunk strength in the two topological entropy conditions, as typically found in artificial grammar learning experiments. By contrast, dyslexic children and reading-level-matched controls’ performance reflected knowledge of chunk strength only under the low topological entropy condition. In the low topological entropy grammar system, they appeared completely unable to utilize chunk strength to make appropriate test item selections. In line with previous research, this study suggests that for typically developing children, it is the chunks that are attended during artificial grammar learning and create a foundation on which implicit associative learning mechanisms operate, and these chunks are unitized to different strengths. However, for children with dyslexia, it is complexity that may influence the subsequent memorability of chunks, independently of their strength.

Journal

Annals of DyslexiaSpringer Journals

Published: Apr 13, 2017

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