Exploring the effect of demographic characteristics and personality traits on attitude toward AI-assisted second language learning among Chinese college students: A multiple regression analysis

Previous research underscores the pivotal role of AI in advancing second language (L2) learning, yet gaps persist in understanding how individual differences shape L2 learners’ perceptions of AI resources. Addressing this gap, this study explored the impact of demographic characteristics (age and gender) and personality traits (extroversion, agreeableness, conscientiousness, neuroticism, and openness) on attitude toward AI-assisted L2 learning. This attitude encompasses the opinions, feelings, and beliefs individuals hold about using AI as a tool to facilitate L2 learning. Data were collected from 493 L2 learners enrolled in Chinese colleges through an online questionnaire using two validated scales. Through SPSS 26, descriptive statistics indicated a moderately high positive attitude among students. Multiple regression analyses revealed that older students and females exhibited more favorable attitude compared to their younger and male counterparts, respectively. Additionally, personality traits—excluding agreeableness—significantly influenced attitude. Besides, extroversion and neuroticism negatively predicted attitude, whereas conscientiousness and openness had positive predictive effects. Moreover, this study discusses theoretical implications and offers educational insights while suggesting avenues for future research.