Literature DB >> 32823169

The relationships between oral language and reading instruction: Evidence from a computational model of reading.

Ya-Ning Chang1, J S H Taylor2, Kathleen Rastle3, Padraic Monaghan4.   

Abstract

Reading acquisition involves learning to associate visual symbols with spoken language. Multiple lines of evidence indicate that instruction on the relationship between spellings and sounds may be particularly important.However, it is unclear whether the effectiveness of this form of instruction depends on pre-existing oral language knowledge.To investigate this issue, we developed a series of computational models of reading incorporating orthographic, phonological and semantic processing to simulate bothartificialand natural orthographic learning conditions in adults and children. We exposed the models to instruction focused on spelling-sound or spelling-meaning relationships, and tested the influence of the models' oral language proficiency on the effectiveness of these training regimes. Overall, the simulations indicated thatoral language proficiency is a vital foundation for reading acquisition, and may modulate the effectiveness of reading instruction. These results provide a computational basis for the Simple View of Reading,and emphasise the importance of both oral language knowledge and spelling-sound instructionin the initial stages of learning to read.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computational modelling; Oral language; Reading development; Reading instruction; Word learning

Mesh:

Year:  2020        PMID: 32823169      PMCID: PMC7612124          DOI: 10.1016/j.cogpsych.2020.101336

Source DB:  PubMed          Journal:  Cogn Psychol        ISSN: 0010-0285            Impact factor:   3.468


  27 in total

Review 1.  DRC: a dual route cascaded model of visual word recognition and reading aloud.

Authors:  M Coltheart; K Rastle; C Perry; R Langdon; J Ziegler
Journal:  Psychol Rev       Date:  2001-01       Impact factor: 8.934

2.  Explaining derivational morphology as the convergence of codes.

Authors: 
Journal:  Trends Cogn Sci       Date:  2000-09       Impact factor: 20.229

3.  Chinese-English bilinguals reading English hear Chinese.

Authors:  Yan Jing Wu; Guillaume Thierry
Journal:  J Neurosci       Date:  2010-06-02       Impact factor: 6.167

Review 4.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.

Authors:  James L McClelland; Bruce L McNaughton; Randall C O'Reilly
Journal:  Psychol Rev       Date:  1995-07       Impact factor: 8.934

5.  The role of plasticity-related functional reorganization in the explanation of central dyslexias.

Authors:  Stephen R Welbourne; Anna M Woollams; Jenni Crisp; Matthew A Lambon Ralph
Journal:  Cogn Neuropsychol       Date:  2011-03       Impact factor: 2.468

6.  Beginning readers activate semantics from sub-word orthography.

Authors:  Kate Nation; Joanne Cocksey
Journal:  Cognition       Date:  2008-12-23

7.  A distributed, developmental model of word recognition and naming.

Authors:  M S Seidenberg; J L McClelland
Journal:  Psychol Rev       Date:  1989-10       Impact factor: 8.934

8.  Nurturing a lexical legacy: reading experience is critical for the development of word reading skill.

Authors:  Kate Nation
Journal:  NPJ Sci Learn       Date:  2017-01-27

9.  Children who read words accurately despite language impairment: who are they and how do they do it?

Authors:  Dorothy V M Bishop; David McDonald; Sarah Bird; Marianna E Hayiou-Thomas
Journal:  Child Dev       Date:  2009 Mar-Apr

10.  Efficacy of language intervention in the early years.

Authors:  Silke Fricke; Claudine Bowyer-Crane; Allyson J Haley; Charles Hulme; Margaret J Snowling
Journal:  J Child Psychol Psychiatry       Date:  2012-11-23       Impact factor: 8.982

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