Students' GAI Acceptance: Role of Demographics, Creative Mindsets, Anxiety, Attitudes

Abstract

This study examined the impact of university students' demographic characteristics, creative mind-sets, AI anxiety and attitudes on their acceptance of Generative Artificial Intelligence (GAI) technologies. The participants of this study consisted of 183 university students, 77 (42%) females and 106 (58%) males. According to the results of Hierarchical Multiple Linear Regression Analyses, all models examined significantly predicted the acceptance of GAI. The results showed that acceptance toward GAI technologies was significantly predicted by a fixed creative mind-set (beta = 0.111, p = .032), growth creative mind-set (beta = 0.413, p = .000), and positive general attitude toward AI (beta = 0.456, p = .000). A positive attitude toward AI and a growth creative mind-set played an important role in GAI acceptance. In line with the information obtained from this study, ways to utilize the transformative power of GAI to foster innovation and creativity were discussed, and valuable insights were revealed.