College Students' Behavioural Intentions of AI‐Assisted Language Learning: Based on the Technology Acceptance Model.
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the u...
| Publicado en: | Journal of Computer Assisted Learning Vol. 41; no. 4; pp. 1 - 12 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2025
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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=186918271&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186918271 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02664909 6M1 jtl: Journal of Computer Assisted Learning issn: 02664909 maglogo: Y pubinfo: dt: Aug2025 vid: 41 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 186918271 186918271 186918271 10.1111/jcal.70075 186918271 ppf: 1 ppct: 11 formats: tig: atl: College Students' Behavioural Intentions of AI‐Assisted Language Learning: Based on the Technology Acceptance Model. aug: au: Wang, Wenji Wang, Wenjuan affil: School of Foreign Languages and Literature, Shandong University, Jinan, China sug: subj: Students, College Student Attitudes Behavior Intention Motivation Artificial Intelligence Utilization Language Education Learning Methods Human Male Female Adult China Structural Equation Modeling Descriptive Statistics Data Analysis Software Chi Square Test Models, Theoretical Adult: 19-44 years Male Female ab: Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods: Structural equation modelling (SEM) was employed to analyse data collected through a questionnaire survey of 425 college students. Results: The findings revealed that perceived usefulness, perceived ease of use, attitude and motivation positively influenced behavioural intention to use AI. Perceived usefulness was found to have a positive effect on attitude and motivation, while perceived ease of use positively affected attitude. However, the influence of perceived ease of use and attitude on motivation was non‐significant. Attitude and motivation play a significant mediating role between perceived usefulness, perceived ease of use and behavioural intention. Conclusions: This study contributes novel theoretical insights into understanding and predicting learners' behaviours in the context of AI‐assisted language learning. It also provides valuable implications for effectively leveraging AI technology to enhance language education. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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