The use of voice recognition software as a compensatory strategy for postsecondary education students receiving services under the category of learning disabled

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2003-08
Authors
Roberts, Kelly Drew
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Stodden, Robert A
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Education
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University of Hawaii at Manoa
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Abstract
This study expands on the current literature base that investigates the use of voice recognition software (VRS) as a compensatory strategy for written language difficulties often experienced by postsecondary education students receiving services under the category of learning disabled. The current literature base is limited to one study (Higgins & Raskind, 1995) which found that subjects' writing samples, completed with VRS, had higher holistic scores than the samples completed with a transcriber, and without assistance. While these findings are positive many questions remain unanswered. The research conducted in this dissertation investigated three such questions. The questions and corresponding findings follow. 1. After being trained on VRS will persons, in postsecondary education, receiving services under the category of learning disabled, continue to use it to complete their academic course work? Will they further use the software for purposes other than academic study? Two individuals continued to use the software. One of these two used the software for multiple purposes. 2. Does the ongoing use of VRS, by postsecondary education students receiving services under the category of learning disabled, improve their written performance when assessed with Fry's Readability Graph? Two subjects each submitted three writing samples: one completed without the use of VRS and two completed using VRS. One subject's grade level equivalency went from 4.5 (sample completed without using VRS) to 6.5 (samples completed using VRS). There was no change in the grade level equivalency of the writing samples for the second subject. 3. What are the contributing variables that influence the continued use, or non-use, of VRS by postsecondary education students receiving services under the category of learning disabled? Numerous variables emerged from the data including: time, access to a personal computer, ease of use, personal issues, use of standard English, the specific limitations associated with a persons disability, whether or not the subjects had other compensatory strategies in place, and the acquisition of the skills necessary to use the software. The findings contribute to the field by providing a framework from which to assess who mayor may not benefit from the use of VRS.
Description
Keywords
Assistive technology, Written composition, Voice recognition, Software, Compensatory strategy, Postsecondary education students, Learning disabled, Educational software, Special education, Higher education
Citation
Roberts, Kelly Drew (2003) The use of voice recognition software as a compensatory strategy for postsecondary education students receiving services under the category of learning disabled. Ph.D. dissertation, University of Hawai'i, United States -- Hawaii.
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Theses for the degree of Doctor of Philosophy (University of Hawaii at Manoa). Education; no. 4362
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