Speaking to write: examining language learners’ acceptance of automatic speech recognition as a writing tool

Carol W. Johnson, W. Cardoso
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Abstract

This mixed-methods one-shot study examines L2 writers’ perceptions of using Automatic Speech Recognition (ASR) to write using the Technology Acceptance Model (TAM), based on three criteria: usefulness, ease of use, and intention to use. After receiving training on Google voice typing in Google Docs, 17 English as a Second Language (ESL) students carried out two ASR-based writing tasks over a two-hour period. After the treatment, participants filled in a TAM-informed survey and participated in semi-structured interviews to measure their perceptions based on the target criteria. Findings indicate positive perceptions of ASR as a writing tool in terms of usefulness (language learning potential) and ease of use (e.g. user-friendly voice commands). We believe that these positive perceptions might lead to an intention to continue to use ASR, suggesting that the technology has L2 pedagogical potential.
从说到写:考察语言学习者对自动语音识别作为写作工具的接受程度
这项混合方法的一次性研究考察了第二语言作者使用技术接受模型(TAM)使用自动语音识别(ASR)进行写作的看法,基于三个标准:有用性、易用性和使用意图。17名英语作为第二语言(ESL)的学生在接受了谷歌文档中谷歌语音输入的培训后,在两个小时的时间内完成了两个基于asr的写作任务。治疗后,参与者填写了一份tam知情调查,并参加了半结构化访谈,以根据目标标准衡量他们的看法。研究结果表明,在有用性(语言学习潜力)和易用性(例如用户友好的语音命令)方面,人们对ASR作为一种写作工具持积极看法。我们认为,这些积极的看法可能会导致继续使用ASR的意图,这表明该技术具有第二语言教学潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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