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Hurwitz, Sarah; Ryan, Tybytha; Kennedy, Daniel P. – Journal of Autism and Developmental Disorders, 2020
Adolescents with autism often experience pronounced difficulties with social communication, and novel interventions designed to improve core abilities are greatly needed. This study examines if providing immediate video feedback, an extension of video self-modeling, can aid adolescents with autism to self-identify strengths and irregularities from…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Video Technology
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Matthew T. Brodhead; Lauren F. Brouwers; Emma S. Sipila-Thomas; Mandy J. Rispoli – Journal of Developmental and Physical Disabilities, 2020
Between 30 and 50% of individuals with Autism Spectrum Disorder (ASD) do not develop vocal language deemed functionally acceptable to meet their daily communication needs. As a result, individuals with ASD may require intervention alternatives to vocal speech, such as augmentative and alternative communication (AAC). However, very little is known…
Descriptors: Autism Spectrum Disorders, Augmentative and Alternative Communication, Assistive Technology, Intervention
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Carnett, Amarie; Bravo, Alicia; Waddington, Hannah – International Journal of Developmental Disabilities, 2019
Objective: Evaluate the use of procedures to teach three nonvocal children with autism spectrum disorder to use a speech-generating device to mand for actions. Method: A multiple probe across participants design was used to evaluate the effectiveness systematic instruction and the use of a behavior chain interruption. Results: All three…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Augmentative and Alternative Communication
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de Ronde-Brons, Inge; Soede, Wim; Dreschler, Wouter – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The aim of the study was to evaluate the application of a modified version of the Amsterdam Inventory for Auditory Disabilities and Handicap to inventory self-reported hearing difficulties pre and post hearing aid fitting in 6 dimensions: detection, speech in silence, speech in noise, localization, discrimination, and noise tolerance.…
Descriptors: Assistive Technology, Hearing Impairments, Scores, Hearing (Physiology)
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Thomas, Cathy Newman; Peeples, Katherine N.; Kennedy, Michael J.; Decker, Mary – Intervention in School and Clinic, 2019
This article provides an overview of the literature on special education law and policy and teacher preparation for special education technology use and identifies current issues, focusing on four key obstacles regarding the status of special education technology access and implementation: (a) the mismatch between legal requirements, policy…
Descriptors: Special Education, Educational Technology, Assistive Technology, Access to Education
Currier, Beth A.; Jones, Maria A.; DeGrace, Beth W. – Journal of Early Intervention, 2019
Independent mobility in typically developing infants and young children has been linked to growth in many areas of child development and changes in family behavior and interaction. Research suggests similar benefits in young children with motor disability who use powered mobility. The purpose of this study was to gain an understanding of how…
Descriptors: Assistive Technology, Young Children, Physical Disabilities, Physical Mobility
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Välimaa, Taina T.; Kunnari, Sari M.; Laukkanen-Nevala, Päivi; Ertmer, David J. – Journal of Speech, Language, and Hearing Research, 2019
Purpose: The purpose of this study was to investigate the time course of vocal development in infants and toddlers with bilateral cochlear implants (CIs; bilateral CI group) who are acquiring Finnish and to compare their progress to that of infants with normal hearing and typical development (TD group). Method: Five thousand nine hundred…
Descriptors: Infants, Toddlers, Verbal Development, Assistive Technology
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Bell, Nicola; Angwin, Anthony J.; Wilson, Wayne J.; Arnott, Wendy L. – Journal of Deaf Studies and Deaf Education, 2019
This study compared the spelling skills and sub-skills of young children with cochlear implants (CIs) who use spoken language only (n = 14) with those of a same-aged typically hearing (TH) control group (n = 30). Spelling accuracy was assessed using irregular and nonsense word stimuli. Error and regression analyses were conducted to provide…
Descriptors: Spelling, Young Children, Assistive Technology, Deafness
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Liu, Li; Feng, Gang – American Annals of the Deaf, 2019
Cued Speech (CS) is a communication system developed for deaf people, which exploits hand cues to complement speechreading at the phonetic level. Currently, it is estimated that CS has been adapted to over 60 languages; however, no official CS system is available for Mandarin Chinese. This article proposes a novel and efficient Mandarin Chinese CS…
Descriptors: Mandarin Chinese, Deafness, Phonetics, Speech Communication
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Shobana R. Dissanayeke; Rebecca Lewis; Siobhan Swindells – Open Learning, 2024
A strategic priority for university educators is to ensure graduates have developed a range of transferable skills. An important skill required by employers is the development of digital capabilities. The COVID-19 pandemic necessitated the move of courses into blended formats which provided an opportunity for educators to redesign their modules to…
Descriptors: Assignments, Digital Literacy, Employment Potential, Blended Learning
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Rebecca Archer Anwar; Juliet E. Hart Barnett – Intervention in School and Clinic, 2024
"Augmentative and alternative communication" (AAC) refers to a wide variety of communication devices, systems, tools, and strategies that support or replace spoken language. Augmentative and alternative communication users represent a range of ages, abilities, and communication needs. Support for AAC often begins in the public school…
Descriptors: Augmentative and Alternative Communication, Special Education, Special Education Teachers, Speech Language Pathology
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Brown, Wayne J.; Reid, Cindy – Smart Learning Environments, 2022
There are many examples of hybrid simulation models in healthcare education which are designed to simulate specific scenarios. However, there appears to be a need for a cost effective and configurable hybrid simulation platform which can be used by educators of various healthcare disciplines to simulate different scenarios. The purpose of this…
Descriptors: Program Implementation, Cost Effectiveness, Computer Simulation, Models
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Sauermilch, Willow – Journal of Special Education Technology, 2022
School-based speech-language pathologists (SLPs) are increasingly confronted with opportunities to use screen-based devices. In order to fully investigate how technology impacts therapeutic efficacy, it is imperative to first understand how and why SLPs utilize technology. This study explores: (a) the frequency with which SLPs use eight types of…
Descriptors: Speech Language Pathology, Allied Health Personnel, Assistive Technology, Technology Uses in Education
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Findlen, Ursula M. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The purpose of this study was to identify common clinical practice patterns for providing advanced noise management features in children with cochlear implants (CIs) and evaluate trends in consideration of clinician experience and comfort with CI manufacturer-specific technology. Method: A mixed-model survey including quantitative and…
Descriptors: Assistive Technology, Pediatrics, Acoustics, Age Differences
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Moreno, Gerardo – International Journal of Disability, Development and Education, 2022
The role of technology in special education has increased over the last 20 years. Expedited by the introduction of Apple iPad and its implementation of touch-based input, the perception of technology has grown from a functional role for students with disabilities to a bridge in accessing general education curriculum. However, quality adoption of…
Descriptors: Educational Technology, Technology Uses in Education, Handheld Devices, Telecommunications
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