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Agarwal, Pakhi; Liao, Jian; Hooper, Simon; Sperling, Rayne – Distance Learning, 2021
Progress monitoring is used to assess a student's performance during the early stages of literacy development. Computerized progress monitoring systems are capable of scoring some progress monitoring measures automatically. However, other measures, such as those involving writing or sign language, are typically scored manually, which is…
Descriptors: Progress Monitoring, Computer Uses in Education, Automation, Scoring
Holmer, Emil; Heimann, Mikael; Rudner, Mary – Journal of Deaf Studies and Deaf Education, 2017
Strengthening the connections between sign language and written language may improve reading skills in deaf and hard-of-hearing (DHH) signing children. The main aim of the present study was to investigate whether computerized sign language-based literacy training improves reading skills in DHH signing children who are learning to read. Further,…
Descriptors: Deafness, Partial Hearing, Computer Uses in Education, Sign Language
Schley, Sara; Stinson, Michael A. – Journal of Postsecondary Education and Disability, 2016
This project investigated the use of alternate methods of classroom interaction and communication to foster collaborative learning in diverse classrooms. Deaf, hard-of-hearing (DHH), and hearing students taking a graduate course in teacher education participated in lab sessions where interactions occurred via articulated speech and/or sign…
Descriptors: Collaborative Writing, Graduate Students, Deafness, Partial Hearing
Herzig, Melissa; Malzkuhn, Melissa – Odyssey: New Directions in Deaf Education, 2015
In recent years, researchers have turned their attention to the cognitive impact of bilingualism, and the benefits of using two languages have become increasingly apparent. Children raised in bilingual families exhibit stronger awareness of the style and tone of language, stronger cognitive development, and higher levels of reading skill than…
Descriptors: Bilingualism, Deafness, Hearing Impairments, Computer Oriented Programs
Andrei, Stefan; Osborne, Lawrence; Smith, Zanthia – Journal of Educational Multimedia and Hypermedia, 2013
The current learning process of Deaf or Hard of Hearing (D/HH) students taking Science, Technology, Engineering, and Mathematics (STEM) courses needs, in general, a sign interpreter for the translation of English text into American Sign Language (ASL) signs. This method is at best impractical due to the lack of availability of a specialized sign…
Descriptors: Deafness, Hearing Impairments, College Students, STEM Education
Ritchings, Tim; Khadragi, Ahmed; Saeb, Magdy – Assistive Technology, 2012
A computer-based system for sign language tutoring has been developed using a low-cost data glove and a software application that processes the movement signals for signs in real-time and uses Pattern Matching techniques to decide if a trainee has closely replicated a teacher's recorded movements. The data glove provides 17 movement signals from…
Descriptors: Tutoring, Computer Assisted Instruction, Teaching Methods, Sign Language
Snoddon, Kristin – Sign Language Studies, 2010
This article discusses the role of technology in supporting ASL literacy. This attention to technology is part of an exploratory study of Deaf elementary school students participating in an ASL identity text project at a bilingual/bicultural school for Deaf students in Ontario, Canada. This study is a contribution to the cross-Canada…
Descriptors: Elementary School Students, Student Attitudes, Deafness, Foreign Countries
Dangsaart, Srisavakon; Naruedomkul, Kanlaya; Cercone, Nick; Sirinaovakul, Booncharoen – Computers & Education, 2008
We present the Intelligent Thai text--Thai sign translation for language learning (IT[superscript 3]STL). IT[superscript 3]STL is able to translate Thai text into Thai sign language simply and conveniently anytime, anywhere. Thai sign language is the language of the deaf in Thailand. In the translation process, the distinction between Thai text…
Descriptors: Satisfaction, Translation, Sign Language, Deafness
Ditcharoen, Nadh; Naruedomkul, Kanlaya; Cercone, Nick – Computers & Education, 2010
Learning a second language is very difficult, especially, for the disabled; the disability may be a barrier to learn and to utilize information written in text form. We present the SignMT, Thai sign to Thai machine translation system, which is able to translate from Thai sign language into Thai text. In the translation process, SignMT takes into…
Descriptors: Sentences, Semantics, Syntax, Translation
Stinson, Michael S.; Elliot, Lisa B.; Kelly, Ronald R.; Yufang Liu, – Journal of Special Education, 2009
In one investigation with 48 deaf and hard-of-hearing (hh) high school students and a second investigation with 48 deaf/hh college students, all viewed one lecture with an interpreter and one with the C-Print[R] speech-to-text support service. High school students retained more lecture information when they viewed speech-to-text support, compared…
Descriptors: College Students, Investigations, Deafness, Lecture Method
Parton, Becky Sue – Journal of Deaf Studies and Deaf Education, 2006
In recent years, research has progressed steadily in regard to the use of computers to recognize and render sign language. This paper reviews significant projects in the field beginning with finger-spelling hands such as "Ralph" (robotics), CyberGloves (virtual reality sensors to capture isolated and continuous signs), camera-based…
Descriptors: Sign Language, Artificial Intelligence, Translation, Computational Linguistics
Ellis, Kirsten; Blashki, Kathy – AACE Journal, 2007
The article discusses a study of 4-5 year old children's use of technology to assist and enhance the acquisition of a play lexicon within a formal educational setting. The new language system to be learned was Auslan, a signed/nonverbal language. A purpose specific software program was developed by the authors, "Auslan Kids," in order to…
Descriptors: Sign Language, Deafness, Computer Uses in Education, Foreign Countries
Villano, Matt – Campus Technology, 2006
Using videotaped lectures to practice American Sign Language (ASL) used to be a pretty tiresome process for hearing-impaired and other students at the University of Rochester (NY). In order to access the videos, students had to trek to the campus library, reserve an audio/visual station in the media center, take out the appropriate tape, and watch…
Descriptors: Deafness, Foreign Countries, Educational Technology, American Sign Language
Peer reviewedAedo, I.; And Others – Journal of Computing in Childhood Education, 1994
Examines the possibilities and advantages of computers in teaching hearing-impaired children. A method of using computers to improve the spoken and written communication skills of the hearing impaired is presented. Suggests that Hypertext and multimedia technologies can be successfully applied to speech therapy teaching, lip-reading teaching,…
Descriptors: Computer Mediated Communication, Computer Uses in Education, Educational Technology, Foreign Countries
Peer reviewedMcIntire, Marina; And Others – Sign Language Studies, 1987
Reports on the continuing work in the development of a computerized writing system for American Sign Language (ASL) called Signfont. Inventories for handshapes and nonmanual markers are presented and discussed extensively. A proposed inventory of phonetic handshapes in ASL are appended. (Author/LMO)
Descriptors: American Sign Language, Communication Aids (for Disabled), Computer Uses in Education, Deafness
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