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Social Predictors of Assistive Technology Proficiency Among Teachers of Students with Visual Impairments

Published:07 November 2016Publication History
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Abstract

Assistive technology (AT) is critical for K-12 students who have visual impairments to engage with their education and is predictive of positive postsecondary outcomes and future employment. Teachers of students with visual impairments (TVIs) act as the primary gatekeepers of AT for these students. Unfortunately, only about 40% of TVIs integrate AT into their practice. Efforts to predict TVIs’ AT proficiency based on their preservice training have been unsuccessful. The current study proposes and confirms that TVIs’ AT proficiency is related to their identification with a social community of practice (CoP) that values AT. Results from n = 505 North American TVIs produced a Spearman’s correlation of ρ = 0.49 between estimated AT proficiency and CoP identification. The relationship was strongest among TVIs with lower AT proficiency and CoP identification. Results have implications for industry, researchers, teacher preparation programs, personnel who administer and train assistive technologies, and policymakers concerned with ensuring that AT is available to students who have visual impairments. Mere availability of AT is insufficient to ensure its successful introduction to K-12 students with visual impairments, which relies on TVIs’ AT proficiency for meaningful implementation. Developers and advocates of AT for K-12 students with visual impairments must consider the social context in which AT proficiency develops and provide appropriate social supports.

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  1. Social Predictors of Assistive Technology Proficiency Among Teachers of Students with Visual Impairments

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        • Published in

          cover image ACM Transactions on Accessible Computing
          ACM Transactions on Accessible Computing  Volume 9, Issue 2
          June 2017
          90 pages
          ISSN:1936-7228
          EISSN:1936-7236
          DOI:10.1145/3015565
          Issue’s Table of Contents

          Copyright © 2016 ACM

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          Publication History

          • Published: 7 November 2016
          • Revised: 1 September 2016
          • Accepted: 1 September 2016
          • Received: 1 May 2016
          Published in taccess Volume 9, Issue 2

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