Personality-Driven Acceptance of ChatGPT in Language Learning: An Extended TAM Approach

The advent of ChatGPT, an advanced AI-driven language model, is revolutionizing language learning by offering personalized, interactive content and real-time feedback. This study investigates how university students' personality traits influence their acceptance of ChatGPT-assisted language learning, utilizing an extended Technology Acceptance Model (TAM). Specifically, the research explores the impact of the Big Five personality traits—Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness—on key TAM constructs such as Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude (AT), and Behavioral Intention (BI). Using Structural Equation Modeling (SEM), the findings reveal that Conscientiousness and Openness significantly enhance students' perceptions of ChatGPT's usefulness and ease of use, leading to more positive attitudes and stronger intentions to incorporate the tool into their language learning. In contrast, Neuroticism negatively affects these perceptions, indicating challenges for students with higher emotional instability. The study highlights the critical role of personality in shaping the acceptance and integration of ChatGPT in educational contexts.