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Paraskevi Theodorou; Kleomenis Tsiligkos; Apostolos Meliones – Journal of Visual Impairment & Blindness, 2024
Introduction: Despite the plethora of sensor-based assistive technology solutions, there is still no widespread acceptance and adoption by people who are blind or have low vision (i.e., visually impaired). Many reasons prevent reducing abandonment levels with a prominent one being a lack of focus on the dimension of training, which, from our…
Descriptors: Assistive Technology, Telecommunications, Handheld Devices, Visual Impairments
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Laura Durston; Michael T. Clarke; Gloria Soto – Augmentative and Alternative Communication, 2024
The relationships between the use of nouns and verbs, and other word classes have been well established in the typical language development literature. However, questions remain as to whether the same relationships are seen in the language use of individuals who use graphic symbol-based augmentative and alternative communication (AAC). The aim of…
Descriptors: Augmentative and Alternative Communication, Nouns, Verbs, Form Classes (Languages)
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Shader, Maureen J.; Kwon, Bomjun J.; Gordon-Salant, Sandra; Goupell, Matthew J. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The goal of this study was to investigate the effect of age on phoneme recognition performance in which the stimuli varied in the amount of temporal information available in the signal. Chronological age is increasingly recognized as a factor that can limit the amount of benefit an individual can receive from a cochlear implant (CI).…
Descriptors: Phonemes, Recognition (Psychology), Time, Cues
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Werfel, Krystal L.; Hendricks, Alison Eisel – Language, Speech, and Hearing Services in Schools, 2023
Purpose: Children with cochlear implants (CIs) have difficulty with literacy, and although it is established that phonological processing underlies literacy skills in children with typical hearing (TH), the relation of phonological processing and literacy in children with CIs is not fully understood. This study evaluated the contributions of…
Descriptors: Deafness, Hearing Impairments, Assistive Technology, Grade 3
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Akçakaya, Hatice; Jayakody, Dona M. P.; Dogan, Murat – Contemporary School Psychology, 2023
Short-term memory (STM) and working memory (WM) capacity, which are at the centre of information processing, are significant predictors of learning in both children with typical hearing (TH) and hearing loss. We compared the performance of long-term cochlear implant (CI) users with their typical hearing (TH) peers on verbal short-term memory…
Descriptors: Meta Analysis, Short Term Memory, Predictor Variables, Assistive Technology
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Lind-Combs, Holly C.; Holt, Rachael Frush – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Children who are deaf or hard of hearing (D/HH) are at increased risk for neurocognitive delays, which can have cascading effects on development. Associations between neurocognition and the content of parental language--specifically the use of mental state vocabulary--have been observed in typically hearing (TH) children. This study…
Descriptors: Deafness, Hearing Impairments, Child Development, Vocabulary
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A. Delcenserie; F. Genesee; F. Champoux – Developmental Science, 2024
Recent evidence suggests that deaf children with CIs exposed to nonnative sign language from hearing parents can attain age-appropriate vocabularies in both sign and spoken language. It remains to be explored whether deaf children with CIs who are exposed to early nonnative sign language, but only up to implantation, also benefit from this input…
Descriptors: Sign Language, Linguistic Input, Phonology, Nonverbal Communication
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Breland, Luke; Lowenstein, Joanna H.; Nittrouer, Susan – Language, Speech, and Hearing Services in Schools, 2022
Purpose: In spite of improvements in language outcomes for children with hearing loss (HL) arising from cochlear implants (CIs), these children can falter when it comes to academic achievement, especially in higher grades. Given that writing becomes increasingly relevant to educational pursuits as children progress through school, this study…
Descriptors: Hearing Impairments, Deafness, Assistive Technology, Oral Language
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Afsah, Omayma; Elawady, Sara; Elshawaf, Wessam; Abou-Elsaad, Tamer – Deafness & Education International, 2022
The academic achievement of deaf and hard-of-hearing (DHH) students depends on the interaction of many factors, including student and family characteristics and experiences inside and outside school. Several questionnaires have previously been designed for evaluating the listening skills of deaf English-speaking children in school environments.…
Descriptors: Deafness, Hearing Impairments, Students with Disabilities, Listening Skills
Lynn K. Perry; Samantha G. Mitsven; Stephanie Custode; Laura Vitale; Brett Laursen; Chaoming Song; Daniel S. Messinger – Grantee Submission, 2022
Children with hearing loss often attend inclusive preschool classrooms aimed at improving their spoken language skills. Although preschool classrooms are fertile environments for vocal interaction with peers, little is known about the dyadic processes that influence children's speech to one another and foster their language abilities and how these…
Descriptors: Preschool Children, Preschool Education, Hearing Impairments, Inclusion
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Bosen, Adam K.; Sevich, Victoria A.; Cannon, Shauntelle A. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: In individuals with cochlear implants, speech recognition is not associated with tests of working memory that primarily reflect storage, such as forward digit span. In contrast, our previous work found that vocoded speech recognition in individuals with normal hearing was correlated with performance on a forward digit span task. A…
Descriptors: Assistive Technology, Deafness, Hearing Impairments, Individual Differences
D. S. Messinger; L. K. Perry; S. G. Mitsven; Y. Tao; J. Moffitt; R. M. Fasano; S. A. Custode; C. M. Jerry – Grantee Submission, 2022
Audio-visual recording and location tracking produce enormous quantities of digital data with which researchers can document children's everyday interactions in naturalistic settings and assessment contexts. Machine learning and other computational approaches can produce replicable, automated measurements of these big behavioral data. The…
Descriptors: Artificial Intelligence, Computation, Measurement Techniques, Automation
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Aldehami, Sultan – Contemporary Educational Technology, 2022
This study was conducted in the central region of the Kingdom of Saudi Arabia (KSA) to investigate levels of teachers' assistive technology (AT) knowledge and skills use in classrooms for students with intellectual disability (ID). A total of 98 special education teachers of students with ID completed an online survey. Results indicate that the…
Descriptors: Foreign Countries, Special Education Teachers, Teacher Attitudes, Assistive Technology
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Al-Zboon, Eman; Al-Dababneh, Kholoud Adeeb – Education 3-13, 2023
This study aimed to investigate teachers' assistive technology (AT) practice in teaching children with developmental disabilities (DD) in early intervention (EI) settings in Jordan. A random sample of 125 early intervention teachers participated in the study by completing the study scale; 20 teachers were later interviewed. The results indicated…
Descriptors: Assistive Technology, Students with Disabilities, Preschool Children, Developmental Disabilities
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Sanders, Eric J.; Page, Thomas A.; Lesher, Deborah – Language, Speech, and Hearing Services in Schools, 2021
Purpose: The purpose of this study was to examine confidence levels and identify predictors of increased confidence of school-based speech-language pathologists (SLPs) relative to different aspects of the augmentative and alternative communication (AAC) assessment process. Method: Surveys were completed by 272 school-based SLPs. Questions were…
Descriptors: Speech Language Pathology, Allied Health Personnel, School Personnel, Augmentative and Alternative Communication