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Direct linkGarrett, Jennifer Tumlin; Heller, Kathryn Wolff; Fowler, Linda P.; Alberto, Paul A.; Fredrick, Laura D.; O'Rourke, Colleen M. – Journal of Special Education Technology, 2011
Students with physical disabilities often have difficulty with writing fluency, despite the use of various strategies, adaptations, and assistive technology (AT). One possible intervention is the use of speech recognition software, although there is little research on its impact on students with physical disabilities. This study used an…
Descriptors: High School Students, Physical Disabilities, Computational Linguistics, Computer Software
Young, Shelley Shwu-Ching; Wang, Yi-Hsuan – Educational Technology & Society, 2014
The aim of this study is to make a new attempt to explore the potential of integrating game strategies with automatic speech recognition technologies to provide learners with individual opportunities for English pronunciation learning. The study developed the Game Embedded CALL (GeCALL) system with two activities for on-line speaking practice. For…
Descriptors: Computer Assisted Instruction, Second Language Learning, Pronunciation, Educational Technology
On the Reliability and Validity of Human and LSA-Based Evaluations of Complex Student-Authored Texts
Seifried, Eva; Lenhard, Wolfgang; Baier, Herbert; Spinath, Birgit – Journal of Educational Computing Research, 2012
This study investigates the potential of a software tool based on Latent Semantic Analysis (LSA; Landauer, McNamara, Dennis, & Kintsch, 2007) to automatically evaluate complex German texts. A sample of N = 94 German university students provided written answers to questions that involved a high amount of analytical reasoning and evaluation.…
Descriptors: Foreign Countries, Computer Software, Computer Software Evaluation, Computer Uses in Education
