The Mediating Role of Motivation Between Generative Artificial Intelligence and Foreign Language Proficiency
A Technology Acceptance Model Perspective
Bibliographic Data
| ID | 22006602 |
|---|---|
| Authors | Fei Qin (0000-0001-8382-6091, Liaocheng University), Bin Liu (0000-0002-7467-2331, Liaocheng University, corresponding author), W P Li (0009-0005-7567-0951, Liaocheng University), Hui Li (0000-0001-9355-1116, Liaocheng University), Huiyuan Li (0000-0002-0207-691X, Liaocheng University, Shandong, China), Jiayin Li (0000-0002-5020-0751, Liaocheng University) |
| Year | 2026 |
| Volume | 16 |
| Issue | 1 |
| Publication date | 2026-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/21582440261430425 |
| OpenAlex | W7138973859 |
| Language | EN |
| References cited | 43 |
The use of technology in language learning is an emerging research field, especially in terms of how learners’ attitudes and acceptance of technology affect the process and experiences of language acquisition. This study seeks to evaluate the role of Generative AI (GenAI) tools in enhancing foreign language proficiency and to explore the motivational factors influencing their adoption and success. Utilizing the Technology Acceptance Model (TAM), this study explores the role of GenAI in foreign language learning among Chinese students. A cross-sectional survey design was utilized to collect data from 548 Chinese university students who use GenAI tools for foreign language learning in and outside the English as a Foreign Language (EFL) classroom. Questionnaires were collected on three respective scales: the Foreign Language Motivation Scale (FLMS) , the Foreign Language Proficiency Scale (FLPS) , and the AI Technology Acceptance for Foreign Language Learning Scale (ATA-FLLS) . Data were analyzed through descriptive statistics, correlation analysis, path analysis, and structural equation modeling (SEM) to explore the relationships between ATA-FLL, FLP, and FLM. The findings demonstrated that positive relationships between perceived usefulness (PU) and perceived ease of use (PEOU) have a significant impact on Foreign Language Proficiency (FLP). Also, results reveal that self-efficacy (SE) mediated the relationship between PEOU and FLP, which indicates the subtle interplay between the factors of the Technology Acceptance Model (TAM) and psychological mediators; those factors collaboratively contribute to students’ foreign language achievement
Foreign language · Language acquisition · Language proficiency · Structural equation modeling · Technology Acceptance Model · Usability · AI in Service Interactions · Technology Adoption and User Behaviour · Technology-Enhanced Education Studies
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The biasing effect of common method variance
An Introduction to Structural Equation Modeling
Artificial intelligence in language instruction
Set Correlation and Contingency Tables
Toward A Hierarchical Model of Intrinsic and Extrinsic Motivation
Descriptive statistics and normality tests for statistical data
RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data
Application of generative artificial intelligence (GenAI) in language teaching and learning
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A new criterion for assessing discriminant validity in variance-based structural equation modeling
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The opportunities and challenges of ChatGPT in education
Using AI-driven chatbots to foster Chinese EFL students’ academic engagement
Exploring EFL university teachers’ beliefs in integrating ChatGPT and other large language models in language education
Modelling Generative AI Acceptance, Perceived Teachers' Enthusiasm and Self‐Efficacy to English as a Foreign Language Learners' Well‐Being in the Digital Era
Evaluating Model Fit of Measurement Models in Confirmatory Factor Analysis
Evaluation of Variance Inflation Factors in Regression Models Using Latent Variable Modeling Methods
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Self-efficacy mechanism in human agency
| Citation velocity | historical |
|---|---|
| Highly cited | No |