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A multisensory 3D environment as intervention to aid reading in dyslexia: A proposed framework

A multisensory 3D environment as intervention to aid reading in dyslexia: A proposed framework

Broadhead, Martyn, Daylamani-Zad, Damon, MacKinnon, Lachlan and Bacon, Liz (2018) A multisensory 3D environment as intervention to aid reading in dyslexia: A proposed framework. In: 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games). IEEE, pp. 1-4. ISBN 978-1-5386-7124-5 ISSN 2474-0470 (Print), 2474-0489 (Online) (doi:https://doi.org/10.1109/VS-Games.2018.8493407)

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Abstract

Developmental Dyslexia (DD) is a common language-based learning difficulty which occurs across all cultures. Whilst various interventions are implemented to aid with reading difficulties, research suggests that phonics is still the most promising approach, yet the challenge in this approach has always been keeping pupils engaged and interested. Multisensory approaches have shown promise in keeping pupils engaged but they are time consuming and require high levels of teacher involvement. This paper suggests using 3D environments and gaming technology as a multisensory intervention to aid reading in Dyslexia. The paper proposes an initial framework and indicates the development and evaluation strategy for the framework.

Item Type: Conference Proceedings
Title of Proceedings: 2018 10th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)
Additional Information: Conference held at Würzburg, Germany, 05-07 September 2018.
Uncontrolled Keywords: Dyslexia, VAKT, Multisensory Intervention, Gaming technology, 3D environment
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Last Modified: 25 Nov 2018 01:38
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/20510

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