Influence of AI Anxiety on AI Self-Efficacy Among College Students

Technology has contributed so much to the development and innovation of humankind. Artificial Intelligence (AI) is an off-shoot of such. This article explored the influence of AI anxiety on AI self-efficacy among college students. The investigators used a cross-sectional research design for 695 purposively chosen college students in one higher education institution in Olongapo City, Philippines. The study used two scales to determine the students' AI anxiety and self-efficacy. The gathered data underwent descriptive and inferential analysis with the help of SPSS 23 software. The results showed that the AI anxiety levels of the students in general were moderate; however, in terms of job replacement and sociotechnical blindness, it was high. The students also have a moderate level of AI self-efficacy. There were also significant differences and relationships observed in the analysis as well. Lastly, learning and AI configurations came out as predictors that influence the AI self-efficacy of college students. The investigators suggested some recommendations at the end of this article.