ERIC Number: ED617987
Record Type: Non-Journal
Publication Date: 2021-Dec-13
Pages: 6
Abstractor: As Provided
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Speaking to Write: Examining Language Learners' Acceptance of Automatic Speech Recognition as a Writing Tool
Johnson, Carol; Cardoso, Walcir
Research-publishing.net, Paper presented at the EUROCALL 2021 Conference (29th, Online, Aug 26-27, 2021)
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. [For the complete volume, "CALL and Professionalisation: Short Papers from EUROCALL 2021 (29th, Online, August 26-27, 2021)," see ED616972.]
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Teaching Methods, Writing (Composition), Audio Equipment, Usability, Computer Software, Student Attitudes, Writing Instruction, Computer Assisted Instruction, College Students, English for Academic Purposes, Foreign Countries
Research-publishing.net. La Grange des Noyes, 25110 Voillans, France. e-mail: info@research-publishing.net; Web site: http://research-publishing.net
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Higher Education; Postsecondary Education
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Language: English
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Identifiers - Location: Canada
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