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April Murphy; Steve Ritter – Grantee Submission, 2022
Large-scale, classroom-based experiments using adaptive instructional software pose somewhat unique challenges for experimental design and deployment. One reason for this is that adaptive software allows students to advance through the curriculum at different rates and encounter content at different times, meaning that content targeted for…
Descriptors: Educational Experiments, Assistive Technology, Computer Software, Computer Assisted Instruction
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Becky Moss; Jane Marshall; Celia Woolf; Katerina Hilari – International Journal of Language & Communication Disorders, 2024
Background: Stroke profoundly affects quality of life (QOL), including loss of employment, reduced social activity, shrinking social networks and low mood. Dysgraphia (impaired writing) is a common symptom of aphasia yet is rarely targeted in rehabilitation. Recent technological advances might challenge this, since much communication is now…
Descriptors: Writing (Composition), Writing Instruction, Intervention, Assistive Technology
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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
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White, Garry – Journal of Information Technology Education: Research, 2020
Aim/Purpose: The purpose of this study is to determine the effectiveness of an Adaptive Learning Technology (ALT), as compared to traditional teaching methods, in an undergraduate management information course. The effectiveness is based on Bloom's Taxonomy of Learning Competencies. Background: Previous studies have investigated factors involved…
Descriptors: Assistive Technology, Educational Technology, Computer Assisted Instruction, Instructional Effectiveness
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Bao, Amanda – Advances in Engineering Education, 2019
This paper presents a teaching innovation of introducing screencasts into Civil Engineering classroom instruction to improve learning outcomes for students, including those with hearing disabilities. Screencasts are screen captures of learning materials, broken into detailed steps with narration and synchronized captions provided by an instructor.…
Descriptors: Instructional Effectiveness, Civil Engineering, Engineering Education, Students with Disabilities
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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
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Meihami, Hussein; Husseini, Fateme – Teaching English with Technology, 2014
The aim of this experimental research is to investigate the effect of using Text-to-Speech Software (TTS), one of Computer Assisted Language Learning (CALL) resources in teaching reading, in particular, different aspects of reading fluency. In this study we investigated teaching and learning of word stress, word intonation, pitch contour, and…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Assistive Technology, Computer Software
Kenney, Susan – ProQuest LLC, 2013
A single subject study with multiple baselines across participants was used to explore the effect of giving access to picture-to-text software for writing to young students, with moderate autism, and documented difficulties with written language. For this intervention study, three participants, who had strengths in visual processing and who were…
Descriptors: Assistive Technology, Autism, Writing Instruction, Writing (Composition)
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Lynn Ahlgrim-Delzell; Diane M. Browder; Leah Wood; Carol Stanger; Angela I. Preston; Amy Kemp-Inman – Journal of Special Education, 2016
A phonics-based reading curriculum in which students used an iPad to respond was created for students with developmental disabilities not able to verbally participate in traditional phonics instruction due to their use of augmentative and assistive communication. Time delay and a system of least prompts used in conjunction with text-to-speech…
Descriptors: Developmental Disabilities, Phonics, Handheld Devices, Telecommunications
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Wass, Sam V.; Porayska-Pomsta, Kaska – Autism: The International Journal of Research and Practice, 2014
In this review, we focus on research that has used technology to provide cognitive training--i.e. to improve performance on some measurable aspect of behaviour--in individuals with autism spectrum disorders. We review technology-enhanced interventions that target three different cognitive domains: (a) emotion and face recognition, (b) language and…
Descriptors: Pervasive Developmental Disorders, Autism, Technology Uses in Education, Cognitive Processes
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Yelamarthi, Kumar – Journal of STEM Education: Innovations and Research, 2012
Multidisciplinary projects involving electrical engineering (EE), mechanical engineering (ME), and computer engineering (CE) students are both exciting and difficult to conceptualize. Answering this challenge, this paper presents a multidisciplinary educational platform on radio frequency identification-based assistive devices. The combination of…
Descriptors: Computer Assisted Instruction, Educational Technology, Assistive Technology, Engineering
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Cucchiarini, Catia; Nejjari, Warda; Strik, Helmer – Language Learning in Higher Education, 2012
Individualized tutoring and feedback by trained language instructors are known to be optimal for language learning. Providing them is time-consuming and costly, however, and therefore not feasible for the majority of language learners. This applies particularly to pronunciation, where corrective feedback should ideally be synchronous, which makes…
Descriptors: Pronunciation, Coaching (Performance), Computer Assisted Instruction, English (Second Language)
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Campigotto, Rachelle; McEwen, Rhonda; Epp, Carrie Demmans – Computers & Education, 2013
A five-month exploratory study was conducted with iOS mobile devices in two Toronto area schools with students in grades 7 through 12. Both classrooms were identified as Special Education classes by the Ontario Ministry of Education, and each student was identified as having exceptionalities requiring additional support and differentiation within…
Descriptors: Foreign Countries, Special Needs Students, Vocabulary, Information Processing
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Fernandez-Lopez, Alvaro; Rodriguez-Fortiz, Maria Jose; Rodriguez-Almendros, Maria Luisa; Martinez-Segura, Maria Jose – Computers & Education, 2013
Students with special education have difficulties to develop cognitive abilities and acquire new knowledge. They could also need to improve their behavior, communication and relationships with their environment. The development of customizable and adaptable applications tailored to them provides many benefits as it helps mold the learning process…
Descriptors: Foreign Countries, Electronic Learning, Educational Needs, Student Needs
Kane, Shaun K. – ProQuest LLC, 2011
Using touch screens presents a number of usability and accessibility challenges for blind people. Most touch screen-based user interfaces are optimized for visual interaction, and are therefore difficult or impossible to use without vision. This dissertation presents an approach to redesigning gesture-based user interfaces to enable blind people…
Descriptors: Computer Assisted Instruction, Vision, Interaction, Educational Technology
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