Identifying highly correlated determinants influencing student nurses' behavioral intention of using generative...

This study aims to identify the most critical factors influencing nursing students' behavioral intention to use generative artificial intelligence by developing a network structure.

Generative artificial intelligence is increasingly integrated into nursing education and clinical nursing practice. Studies have explored the factors influencing behavioral intentions toward the use of Artificial Intelligence, but research specific to Generative Artificial Intelligence is still lacking. It's crucial for nursing students to use generative artificial intelligence effectively, especially as clinical environments change rapidly in the digital era. Thus, it is important to identify the key factors that influence their intention to use.

A cross-sectional study was conducted. 800 participants were recruited from November to December 2023 through convenient sampling. Network analysis was applied in this study to identify the important nodes that are the most critical target goals for improving the behavioral intention of using Generative artificial intelligence by R package.

The network analysis indicated that Artificial Intelligence Relevance, Ethical Awareness About Artificial Intelligence served as central factors in the network of Generative Artificial Intelligence Intention of using (EI = 1.19, 1.06). Artificial Intelligence Literacy was a key bridge node linking the Generative Artificial Intelligence Intention of using with its influencing factor associations (BEI = 0.33).

Generative Artificial Intelligence Relevance, Ethical Awareness about Generative Artificial Intelligence and Generative Artificial Intelligence Literacy serves as potential targets for enhancing nursing students' behavioral intention. Nursing educators and universities could consider targeted and collaborative effort to improve their behavioral intention.