HIGHLIGHTS
- What: The study sheds light on the underlying mechanisms of CFL learners` behavioral intention to use ChatGPT and provides context-specific and nuanced insights into CFL learners` perceptions of ChatGPT-assisted language learning. Looking at the research field of CFL, there are few quantitative studies based on TAM to explore learners` acceptance of ChatGPT with a focus predominately on teachers` ICT use on a macro level. According to Hair and Alamer , due to the predictive nature of PLS-SEM, model fit indices may have limited value when the main goal is to understand variable relationships and effects . . .

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