The Impact of Artificial Intelligence Tools on College Students' Academic Self-efficacy

With the continuous development of artificial intelligence technology, its impact on higher education teaching has attracted more and more attention. In particular, the question of whether there is a correlation between the use of artificial intelligence software and the academic self-efficacy of college students and what the related factors are is worthy of in-depth exploration in various fields. Based on the questionnaire survey, this study uses logistics regression analysis to analyze data, explore the influence mechanism and conduct attributional discussion. The study found that the use of artificial intelligence software at a certain frequency could improve the academic self-efficacy (ASE) of college students; the frequency of use has a significant impact on it, and the effect on the use and sense of identity is not significant. This study aims to clear the effects of artificial intelligence software on college students' academic self-efficacy and the mechanisms involved, and to provide directions for the innovative reform of higher education and research at the intersection of education and psychology.