Understanding Chinese University EFL Learners' Perceptions of AI in English Writing
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| Title: | Understanding Chinese University EFL Learners' Perceptions of AI in English Writing |
|---|---|
| Language: | English |
| Authors: | Jiaozhi Liang (ORCID |
| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: eric DbLabel: ERIC An: EJ1451546 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Understanding Chinese University EFL Learners' Perceptions of AI in English Writing – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au 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>) – Name: TitleSource Label: Source Group: Src 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). – Name: Avail Label: Availability Group: Avail 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/ – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 16 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su 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> – Name: Subject Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.4018/IJCALLT.358918 – Name: ISSN Label: ISSN Group: ISSN 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. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1451546 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1451546 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.4018/IJCALLT.358918 Languages: – 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 Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Computer Software Type: general – SubjectFull: Technology Uses in Education Type: general – SubjectFull: Predictor Variables Type: general – SubjectFull: Student Attitudes Type: general – SubjectFull: Intention Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Undergraduate Students Type: general – SubjectFull: Graduate Students Type: general – SubjectFull: Majors (Students) Type: general – SubjectFull: Nonmajors Type: general – SubjectFull: Writing Instruction Type: general – SubjectFull: China Type: general Titles: – TitleFull: Understanding Chinese University EFL Learners' Perceptions of AI in English Writing Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jiaozhi Liang – PersonEntity: Name: NameFull: Fang Huang – PersonEntity: Name: NameFull: Timothy Teo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 2155-7098 – Type: issn-electronic Value: 2155-7101 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Computer-Assisted Language Learning and Teaching Type: main |
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