Exploring the effects of automatic speech recognition technology on oral accuracy and fluency in a flipped classroom.
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 ASR...
| Publicado en: | Journal of Computer Assisted Learning Vol. 39; no. 1; pp. 125 - 141 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts randomized controlled trial Journal Article |
| Publicado: |
Wiley-Blackwell
Feb2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=161311235&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 161311235 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Feb2023 vid: 39 iid: 1 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 161311235 158620057 161311235 161311235 10.1111/jcal.12732 161311235 ppf: 125 ppct: 16 formats: tig: atl: Exploring the effects of automatic speech recognition technology on oral accuracy and fluency in a flipped classroom. aug: au: Jiang, Michael Yi‐Chao Jong, Morris Siu‐Yung Lau, Wilfred Wing‐Fat Chai, Ching‐Sing Wu, Na affil: Centre for Learning Sciences and Technologies, The Chinese University of Hong Kong, Hong Kong SAR, China sug: subj: Voice Recognition Systems English as a Second Language Education Learning Methods Students, College Speech Intelligibility Outcomes of Education Evaluation Language Processing Communication Skills Evaluation Human Quasi-Experimental Studies Prospective Studies Randomized Controlled Trials Random Assignment China Adolescence Young Adult Audiorecording Repeated Measures Descriptive Statistics Analysis of Covariance Data Analysis Software Grammar Female Male Adolescent: 13-18 years Female Male ab: 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 ASR technology could be incorporated into language classrooms to facilitate the learners' language acquisition. Objectives: This study aimed to examine the effects of ASR‐based technology on English learners' oral accuracy and fluency and depict the corresponding development trajectories. Methods: A total of 160 first‐year university students were enrolled in a 14‐week quasi‐experiment based on a longitudinal research design. Both treatment and control groups were taught with the flipped classroom approach, but the students in the treatment group were particularly required to undertake a pre‐class task with ASR technology. Students' Unit Task performance was audio‐recorded, and the metrics of oral accuracy and fluency were coded and computed based on the recording transcripts. A two‐way repeated measures ANCOVA was conducted to investigate the between‐ and within‐subjects effects as well as the corresponding interaction effects. Results: In terms of the between‐subjects effect, the treatment group outperformed the control group on phonological accuracy, speed fluency and repair fluency. In terms of the within‐subjects effect, significant gains in lexical and morphosyntactic accuracy were witnessed over time in both groups, but the performance of the treatment group tended to be more stable. On all the fluency metrics and phonological accuracy, no significant within‐subjects improvement was seen over time. Implications: The development of oral accuracy may generate a negative impact on that of fluency. Therefore, course developers and teachers need to design special tasks and provide conditions conducive to the development of the students' oral fluency. Moreover, the mobile‐based dictation ASR application could incorporate adaptive artificial intelligence, which may escalate the students' fossilization of learner interlanguage. Lay Description: What is already known about this topic?The ASR‐based technology is becoming popular in foreign language learning.The effect of ASR‐based technology on oral accuracy and fluency is still in a nascent phase. What this paper adds?This study explores how the mobile‐based dictation ASR technology facilitates English learners' oral accuracy and fluency.The dictation ASR‐based application integrated into pre‐class learning enhances English learners' phonological accuracy, speed fluency and repair fluency.The dictation ASR‐based application also contributed to a stable development of English learners' lexical and morphosyntactic accuracy over time. Implications for practiceEnglish teachers could integrate mobile‐based dictation ASR technology into pre‐class practice to improve the students' oral English accuracy and fluency in a flipped learning. pubtype: Academic Journal doctype: pictorial research tables/charts randomized controlled trial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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