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Direct linkUmut Zeki; Tolgay Karanfiller; Kamil Yurtkan – Education and Information Technologies, 2024
The developmental, characteristics and educational competencies of students who need special education are developing slowly in compared to their agemates. This is because their expressive language is different. In order to overcome these challenges, assistive technologies can be used under the supervision of the teachers. In this paper, a person…
Descriptors: Special Education, Expressive Language, Assistive Technology, Artificial Intelligence
Tamati, Terrin N.; Pisoni, David B.; Moberly, Aaron C. – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This preliminary research examined (a) the perception of two common sources of indexical variability in speech--regional dialects and foreign accents, and (b) the relation between indexical processing and sentence recognition among prelingually deaf, long-term cochlear implant (CI) users and normal-hearing (NH) peers. Method: Forty-three…
Descriptors: Dialects, Pronunciation, Assistive Technology, Deafness
Download full textNational Center on Deaf-Blindness, 2022
This brief, co-produced by the National Center on Deaf-Blindness (NCDB) and Accessible Teaching, Learning, and Assessment Systems (ATLAS), provides important information about students with dual sensory loss who also have significant cognitive disabilities, as well as recommendations for identification and implications for instruction. The…
Descriptors: Intellectual Disability, Severe Disabilities, Deaf Blind, Students with Disabilities
Lawrence Angrave; Jiaxi Li; Ninghan Zhong – Grantee Submission, 2022
To efficiently create books and other instructional content from videos and further improve accessibility of our course content we needed to solve the scene detection (SD) problem for engineering educational content. We present the pedagogical applications of extracting video images for the purposes of digital book generation and other shareable…
Descriptors: Instructional Materials, Material Development, Video Technology, Course Content
National Center on Deaf-Blindness, 2022
The annual National Deaf-Blind Child Count is the world's first and longest running count of children who are deaf-blind. Begun in 1986 on behalf of the U.S. Department of Education, it represents a collaborative effort between the National Center on Deaf-Blindness (NCDB) and state deaf-blind projects throughout the country, including those in the…
Descriptors: Deaf Blind, Students with Disabilities, Student Needs, Children
M. Karvonen; B. Beitling; K. Erickson; S. Morgan; R. Bull – National Center on Deaf-Blindness, 2021
This report describes a project that uses existing data sets to describe the population of students with significant cognitive disabilities and known or suspected dual sensory loss. It includes students with suspected dual sensory loss because students with significant cognitive disabilities are reported to have unidentified sensory loss (Erickson…
Descriptors: Intellectual Disability, Comorbidity, Perceptual Impairments, Student Characteristics
