Understanding Chinese University EFL Learners' Perceptions of AI in English Writing

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Bibliographic Details
Title: Understanding Chinese University EFL Learners' Perceptions of AI in English Writing
Language: English
Authors: Jiaozhi Liang (ORCID 0009-0000-1534-2634), Fang Huang (ORCID 0000-0001-6706-8251), Timothy Teo (ORCID 0000-0002-7552-8497)
Source: International Journal of Computer-Assisted Language Learning and Teaching. 2024 14(1).
Availability: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Peer Reviewed: Y
Page Count: 16
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Writing Processes, Artificial Intelligence, Computer Software, Technology Uses in Education, Predictor Variables, Student Attitudes, Intention, Foreign Countries, Undergraduate Students, Graduate Students, Majors (Students), Nonmajors, Writing Instruction
Geographic Terms: China
DOI: 10.4018/IJCALLT.358918
ISSN: 2155-7098
2155-7101
Abstract: Artificial intelligence (AI) is useful to English as a foreign language (EFL) learners, but there is a paucity of research on how they perceive AI. Contextualized in a Chinese university setting, this study investigated Chinese university EFL learners' perceptions of Grammarly in English writing. Based on an extended technology acceptance model (TAM) with task relevance, subjective norm, and perceived enjoyment being added, quantitative data were collected from 140 Chinese EFL learners. Structural equation modeling analysis suggested that the proposed model could effectively explain participants' views of Grammarly. Their perceptions of ease of use significantly influenced usefulness, which had a major impact on their attitudes towards AI and behavioral intention. Perceived enjoyment and task relevance were also significant predictors of students' perceptions of this software. The research model explained 71% of the variance of EFL learners' intentions to use AI. Suggestions were given to teachers on implementing AI writing support.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1451546
Database: ERIC
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  Data: Understanding Chinese University EFL Learners' Perceptions of AI in English Writing
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  Data: <searchLink fieldCode="AR" term="%22Jiaozhi+Liang%22">Jiaozhi Liang</searchLink> (ORCID <externalLink term="https://orcid.org/0009-0000-1534-2634">0009-0000-1534-2634</externalLink>)<br /><searchLink fieldCode="AR" term="%22Fang+Huang%22">Fang Huang</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-6706-8251">0000-0001-6706-8251</externalLink>)<br /><searchLink fieldCode="AR" term="%22Timothy+Teo%22">Timothy Teo</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-7552-8497">0000-0002-7552-8497</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Computer-Assisted+Language+Learning+and+Teaching%22"><i>International Journal of Computer-Assisted Language Learning and Teaching</i></searchLink>. 2024 14(1).
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  Data: IGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
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  Data: Y
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  Data: 16
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  Data: <searchLink fieldCode="DE" term="%22English+%28Second+Language%29%22">English (Second Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Instruction%22">Second Language Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Second+Language+Learning%22">Second Language Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Processes%22">Writing Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Technology+Uses+in+Education%22">Technology Uses in Education</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Student+Attitudes%22">Student Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Intention%22">Intention</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduate+Students%22">Undergraduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Graduate+Students%22">Graduate Students</searchLink><br /><searchLink fieldCode="DE" term="%22Majors+%28Students%29%22">Majors (Students)</searchLink><br /><searchLink fieldCode="DE" term="%22Nonmajors%22">Nonmajors</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Instruction%22">Writing Instruction</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
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  Data: 10.4018/IJCALLT.358918
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  Data: 2155-7098<br />2155-7101
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Artificial intelligence (AI) is useful to English as a foreign language (EFL) learners, but there is a paucity of research on how they perceive AI. Contextualized in a Chinese university setting, this study investigated Chinese university EFL learners' perceptions of Grammarly in English writing. Based on an extended technology acceptance model (TAM) with task relevance, subjective norm, and perceived enjoyment being added, quantitative data were collected from 140 Chinese EFL learners. Structural equation modeling analysis suggested that the proposed model could effectively explain participants' views of Grammarly. Their perceptions of ease of use significantly influenced usefulness, which had a major impact on their attitudes towards AI and behavioral intention. Perceived enjoyment and task relevance were also significant predictors of students' perceptions of this software. The research model explained 71% of the variance of EFL learners' intentions to use AI. Suggestions were given to teachers on implementing AI writing support.
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  Data: As Provided
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  Label: Entry Date
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  Data: 2024
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  Label: Accession Number
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  Data: EJ1451546
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        Value: 10.4018/IJCALLT.358918
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      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
    Subjects:
      – SubjectFull: English (Second Language)
        Type: general
      – SubjectFull: Second Language Instruction
        Type: general
      – SubjectFull: Second Language Learning
        Type: general
      – SubjectFull: Writing Processes
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Computer Software
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      – SubjectFull: Technology Uses in Education
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      – SubjectFull: Predictor Variables
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      – SubjectFull: Student Attitudes
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      – SubjectFull: Intention
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Undergraduate Students
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      – SubjectFull: Graduate Students
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      – SubjectFull: Nonmajors
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      – SubjectFull: Writing Instruction
        Type: general
      – SubjectFull: China
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      – TitleFull: Understanding Chinese University EFL Learners' Perceptions of AI in English Writing
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