Visualizing meaning: Literacy materials for dyslexic children

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Dyslexic children experience a difficulty in learning to read at a level that is expected from their level of intelligence. As dyslexia is commonly characterized by a deficit in phonemic processing, many literacy intervention programs focus on developing skills in this area. However, language is processed by two separate cognitive subsystems: the verbal (language) and the nonverbal (imaging) [3]. Having strengths in visual processing and problem-solving [7], dyslexic learners may be able to use these abilities inherent in the nonverbal subsystem to more easily acquire those skills related to the verbal subsystem, with which they typically struggle. It is suggested here that common teaching strategies that pair concrete nouns with simple and literal visual explanations may be used to teach more complex verbal concepts to children with dyslexia. As verbal information becomes more demanding, it is likely that visual explanations will also become more complex. It is therefore important to understand how visual cues can be used to reduce ambiguity and to create meaning in visual explanations. Current research is exploring how children with reading difficulties use, read and interact with visual information. Through both preference and performance testing, the ways in which visual explanations can be used in the literacy education of dyslexic children will be investigated.

Original languageEnglish
Title of host publicationDiagrammatic Representation and Inference - 5th International Conference, Diagrams 2008, Proceedings
EditorsGem Stapleton, John Howse, John Lee
Number of pages3
ISBN (Print)3540877290, 9783540877295
Publication statusPublished - 27 Nov 2008
Externally publishedYes
Event5th International Conference on Diagrammatic Representation and Inference, Diagrams 2008 - Herrsching, Germany
Duration: 19 Sept 200821 Sept 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5223 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Diagrammatic Representation and Inference, Diagrams 2008

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