Exploring the effects of automatic speech recognition technology on oral accuracy and fluency in a flipped classroom

• Published in: Journal of computer assisted learning Vol. 39; no. 1; pp. 125 - 140
• Main Authors: Jiang, Michael Yi‐Chao, Jong, Morris Siu‐Yung, Lau, Wilfred Wing‐Fat, Chai, Ching‐Sing, Wu, Na
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Inc 01.02.2023; Wiley; Wiley Subscription Services, Inc
• Subjects: Accuracy; Artificial intelligence; Automatic speech recognition; Automation; Between-subjects design; Classrooms; College Freshmen; College students; Colleges & universities; Control Groups; Difficulty Level; Educational activities; Educational technology; English (Second Language); English as a foreign language; English as a second language learning; English language; Flipped Classroom; Fluency; Foreign languages; Interlanguage; Language acquisition; Language Fluency; Learning; Learning outcomes; Linguistic performance; Morphosyntax; oral accuracy; oral fluency; Phonology; Repair; Research design; Second Language Learning; Speech Communication; Speech recognition; Students; Teachers; Time; Voice recognition

Background While automatic speech recognition (ASR) is increasingly used for commercial purposes, its influence on the learners' linguistic performance in terms of oral complexity, accuracy and fluency was under‐explored. To date, few studies have been conducted to investigate how the dictation...