Volume 8,Issue 9
Research on the Reconstruction Pathways of English Majors’ Self-Efficacy in the Era of Artificial Intelligence
This study, based on Davis’s (1989) technology acceptance model (TAM), Bandura’s (1982) self-efficacy theory (SET), and the concepts of AI literacy and human–AI collaboration (AILHAIC), constructs a structural equation model to examine the reconstruction pathways of English majors’ self-efficacy (SE) in the AI era. A total of 240 questionnaires were collected from English majors at a university in Dongguan City, Guangdong Province, and 214 valid questionnaires were retained after data screening. The results show that AI Usage Perception (AIUP) has a significant positive effect on SE. AIUP also has significant positive effects on self-efficacy sources (SES) and AILHAIC. Both SES and AILHAIC have significant positive effects on SE. Simultaneously, Bootstrap analysis (5,000 resamples) indicates that AILHAIC (indirect effect=0.120) and SES (indirect effect=0.062) both significantly mediate the relationship between AIUP and SE, with AILHAIC playing a stronger mediating role. These findings reveal that AIUP influences SE both directly and indirectly through SES and AILHAIC, highlighting the key role of AILHAIC in reconstructing English majors’ SE. This study provides theoretical and practical implications for English teaching reform and SE enhancement in the AI era.
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