Artificial intelligence literacy and influencing factors among clinical nurses in southeastern China: a latent profile analysis
Jingyi Li, Yousheng Liu, Liting Xiang, Guanmian Liang · 2026
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Description
Jingyi Li and co-authors sort nurses in southeastern China into skill groups for artificial intelligence in 2026. A survey of 366 nurses from three large hospitals used a literacy scale plus attitude and innovation measures. Group-finding math split scores into hidden profiles rather than forcing a single average. Traits tied to each profile were then tested.
Three profiles emerged, led by a low literacy and low use group at about a fifth of nurses. A middle group paired moderate literacy with high use, and a top group scored high on both. Attitude toward the tools and inventive behavior helped sort who landed where. Training can now target the low group first, where need is plainest.
Catalog record
| CREATOR | Jingyi Li, Yousheng Liu, Liting Xiang, Guanmian Liang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41261 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |