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Research Article

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

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Published online: 08 Aug 2024
 

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 (β = 0.111, p = .032), growth creative mind-set (β = 0.413, p = .000), and positive general attitude toward AI (β = 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.

Acknowledgments

The author(s) contributed to and have approved the final manuscript.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Availability of data and material

Data is available on request due to privacy/ethical restrictions.

Ethics

All research procedures, including data collection, analysis, and manuscript writing processes, followed the principles of the university’s ethical committee unit and the Declaration of Helsinki. Research data were obtained from students voluntarily through an online questionnaire. Students’ personal information was not used or shared other than for research purposes. Informed consent was obtained from the participants before the data collection process.

Additional information

Funding

The author(s) received no financial support for this article’s research, authorship, and publication.

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