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Direct linkAkiyo Hirai; Angelina Kovalyova – Language Learning & Technology, 2024
Speech-to-text applications have great potential for helping students with English language comprehension and pronunciation practice. This study explores the functionality of five speech-to-text (STT) applications (Google Docs voice typing tool, Apple Dictation, Windows 10 Dictation, Dictation.io [a website service], and "Transcribe" [an…
Descriptors: Assistive Technology, English Language Learners, English (Second Language), Articulation (Speech)
Download full textHsiao-Wen Hsu – International Journal of Technology in Education, 2024
The implementation of computer-assisted pronunciation training (CAPT) has been proven to be successful in improving learners' pronunciation abilities. Automatic speech recognition (ASR) software was used to provide mediated support to 103 pre-intermediate level students (62 males and 41 females). After experiencing a two-semester of CAPT…
Descriptors: Automation, Assistive Technology, Pronunciation, English Language Learners
Escudeiro, Paula; Galasso, Bruno; Teixeira, Dirceu; Gouveia, Márcia Campos; Escudeiro, Nuno – Cypriot Journal of Educational Sciences, 2022
The communication gap between deaf and non-deaf communities arises due to the use of distinct mother languages. A deaf student, who used to communicate in sign language, cannot read fluently materials written in spoken language. This fact causes serious difficulties to deaf students since most didactic materials in higher education are available…
Descriptors: Foreign Countries, Interpersonal Communication, Deafness, Online Courses
Liyanagunawardena, Tharindu R. – European Journal of Open, Distance and E-Learning, 2020
Transcripts and captions make videos more accessible to everyone. However, the time and resources required for manual transcription are a known barrier in creating accessible videos. This paper presents a small study where students (283) and tutors (27) reported their views on automatic transcriptions for recorded webinar videos. Despite not…
Descriptors: Transcripts (Written Records), Video Technology, Assistive Technology, Students with Disabilities
Mirzaei, Maryam Sadat; Meshgi, Kourosh; Kawahara, Tatsuya – Research-publishing.net, 2017
This study proposes a method to detect problematic speech segments automatically for second language (L2) listeners, considering both lexical and acoustic aspects. It introduces a tool, Partial and Synchronized Caption (PSC), which provides assistance for language learners and fosters L2 listening skills. PSC presents purposively selected words…
Descriptors: Second Language Learning, English (Second Language), Listening Comprehension, Listening Skills
Samantha M. Curle Ed.; Mustafa Tevfik Hebebci – Online Submission, 2023
The International Conference on Academic Studies in Technology and Education (ICASTE) is set to take place at Amara Premier Palace Hotel in Antalya, Turkey, from November 16-19, 2023. Organized by the International Society for Research in Education and Science (ISRES) and the International Society for Academic Research in Science, Technology, and…
Descriptors: Educational Technology, Artificial Intelligence, Higher Education, Learner Engagement
Brasher, Andrew; McAndrew, Patrick – Journal of Interactive Media in Education, 2009
This paper describes how digital talking books (DTBs) with embedded functionality for learners can be generated from content structured according to the OU OpenLearn schema. It includes examples showing how a software transformation developed from open source components can be used to remix OpenLearn content, and discusses issues concerning the…
Descriptors: Open Universities, Educational Resources, Costs, Web Sites
Ryba, Ken; McIvor, Tom; Shakir, Maha; Paez, Di – E-Journal of Instructional Science and Technology, 2006
This study examined continuous automated speech recognition in the university lecture theatre. The participants were both native speakers of English (L1) and English as a second language students (L2) enrolled in an information systems course (Total N=160). After an initial training period, an L2 lecturer in information systems delivered three…
Descriptors: Student Surveys, Student Attitudes, Computer Assisted Instruction, Information Systems
