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Kuo-Wei Kyle Lai; Hao-Jan Howard Chen – Interactive Learning Environments, 2024
Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…
Descriptors: Computer Software, Computer Assisted Instruction, Technology Uses in Education, Assistive Technology
Foshage, Suzanne – ProQuest LLC, 2019
Students who graduate from high school not reading on grade level do not have the same post-secondary opportunities as students who read on grade level. Many researchers have found that struggling high school readers are not successful reading independently above the second-grade level; a significant percentage of high school students cannot read…
Descriptors: High School Students, Assistive Technology, Educational Technology, Reading Achievement
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Asaro-Saddler, Kristie; Knox, Haley Muir; Meredith, Holly; Akhmedjanova, Diana – Insights into Learning Disabilities, 2015
Writing is an important content area that pervades all subject areas and is required for post-school success, yet many students with autism spectrum disorders (ASD) often struggle in written expression. In this article we discuss the characteristics of students with ASD that make writing difficult, and the strengths, such as the use of technology,…
Descriptors: Autism, Pervasive Developmental Disorders, Writing Difficulties, Assistive Technology
Frankel, Lois; Brownstein, Beth – Educational Testing Service, 2016
The work described in this report is the second phase of a project to provide easy-to-use tools for authoring and rendering secondaryschool algebra-levelmath expressions insynthesized speech that is useful for studentswithblindnessor lowvision.This report describes the development and results of the second feedback study performed for our project,…
Descriptors: Visual Impairments, Blindness, Assistive Technology, Feedback (Response)
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Beal-Alvarez, Jennifer S.; Cannon, Joanna E. – Odyssey: New Directions in Deaf Education, 2015
The field of deaf education lacks rigorous research that supports any singular instructional practice (Luckner, Sebold, Cooney, Young III, & Muir 2005/2006; Easterbrooks & Stephenson, 2012). However studies indicate that technology, frequently used during instruction with students who are deaf or hard of hearing (Easterbrooks, Stephenson,…
Descriptors: Deafness, Hearing Impairments, Teaching Methods, Technology Uses in Education
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Parton, Becky Sue – Journal of Information Technology Education: Innovations in Practice, 2014
Foreign sign language instruction is an important, but overlooked area of study. Thus the purpose of this paper was two-fold. First, the researcher sought to determine the level of knowledge and interest in foreign sign language among Deaf teenagers along with their learning preferences. Results from a survey indicated that over a third of the…
Descriptors: Electronic Learning, Assistive Technology, Sign Language, Deafness
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Mukherjee, Anirban; Garain, Utpal; Biswas, Arindam – Educational Technology & Society, 2014
Diagram describing texts are integral part of science and engineering subjects including geometry, physics, engineering drawing, etc. In order to understand such text, one, at first, tries to draw or perceive the underlying diagram. For perception of the blind students such diagrams need to be drawn in some non-visual accessible form like tactile…
Descriptors: Teaching Methods, Blindness, Science Education, Maps
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Mezei, Peter J.; Heller, Kathryn Wolff – Physical Disabilities: Education and Related Services, 2012
Many students with physical disabilities have difficulty with writing fluency due to motor limitations. One type of assistive technology that has been developed to improve writing speed and accuracy is word prediction software, although there is a paucity of research supporting its use for individuals with physical disabilities. This study used an…
Descriptors: Educational Technology, Assistive Technology, Prediction, Physical Disabilities
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Garrett, Jennifer Tumlin; Heller, Kathryn Wolff; Fowler, Linda P.; Alberto, Paul A.; Fredrick, Laura D.; O'Rourke, Colleen M. – Journal of Special Education Technology, 2011
Students with physical disabilities often have difficulty with writing fluency, despite the use of various strategies, adaptations, and assistive technology (AT). One possible intervention is the use of speech recognition software, although there is little research on its impact on students with physical disabilities. This study used an…
Descriptors: High School Students, Physical Disabilities, Computational Linguistics, Computer Software
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Bouck, Emily C.; Flanagan, Sara; Joshi, Gauri S.; Sheikh, Waseem; Schleppenbach, Dave – Journal of Special Education Technology, 2011
This project explored a newly developed computer-based voice input, speech output (VISO) calculator. Three high school students with visual impairments educated at a state school for the blind and visually impaired participated in the study. The time they took to complete assessments and the average number of attempts per problem were recorded…
Descriptors: Assistive Technology, Visual Impairments, Computation, Calculators
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Chiang, Hsin-Yu; Liu, Chien-Hsiou – Assistive Technology, 2011
Using assistive reading software may be a cost-effective way to increase the opportunity for independent learning in students with learning disabilities. However, the effectiveness and perception of assistive reading software has seldom been explored in English-as-a-second language students with learning disabilities. This research was designed to…
Descriptors: Assistive Technology, Computer Software, Reading, High School Students
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Moorman, Amanda; Boon, Richard T.; Keller-Bell, Yolanda; Stagliano, Christina; Jeffs, Tara – Learning Disabilities: A Multidisciplinary Journal, 2010
The purpose of this study was to examine the effects of a text-to-speech software program known as "Read Please" on the reading rate and reading comprehension accuracy of two high school students with specific learning disabilities (SLD) in reading. A single-subject A-B-A-B "withdrawal" research design (Alberto & Troutman,…
Descriptors: Reading Comprehension, Learning Disabilities, Computer Software, Reading Rate
Fennessy, Brendan – Techniques: Connecting Education and Careers (J1), 2008
While most high school juniors in Howard County, Maryland, were quietly studying in their classrooms, students enrolled in the Energy, Power and Transportation Academy (EPT) of the Applications and Research Lab (ARL), in Ellicott City, were making a lot of noise, welding and cutting away to build an all-terrain wheelchair. The author was a part of…
Descriptors: Assistive Technology, High School Students, Transportation, Energy
Mezei, Peter John – ProQuest LLC, 2009
Writing is a multifaceted, complex task that involves interaction between physical and cognitive skills. Individuals with physical disabilities vary in terms of both their physical and cognitive abilities. Often they must overcome one or more significant barriers in order to engage in the task of writing. Minimizing or eliminating barriers is…
Descriptors: Prediction, Computer Software, Educational Technology, Assistive Technology
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Ludi, Stephanie; Reichlmayr, Tom – ACM Transactions on Computing Education, 2011
This article describes an outreach program to broaden participation in computing to include more students with visual impairments. The precollege workshops target students in grades 7-12 and engage students with robotics programming. The use of robotics at the precollege level has become popular in part due to the availability of Lego Mindstorm…
Descriptors: High School Students, Visual Impairments, Middle School Students, Outreach Programs
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