Answers are grounded in this paper and cite their sources.
Educational intervention examines AI education impact on nursing students' understanding and application.
Background: Artificial intelligence (AI) is being integrated into health care, yet nursing students are graduating without formal preparation to navigate AI-enhanced practice. Purpose: This educational intervention examined graduate nursing students’ perspectives on AI education grounded in the AI-ABCs framework. Methods: An AI literacy module was implemented across 5 graduate nursing courses (N = 71 students). Students completed curated readings, an online course, and a reflective assessment. Student responses underwent thematic analysis. Results: Four themes emerged: (1) perceived understanding of AI concepts and terminology; (2) critical recognition of AI limitations and ethical concerns; (3) recognition of AI’s role in health care; and (4) desire for hands-on application. Conclusions: Graduate nursing students reported developing foundational AI literacy through the AI-ABCs framework embedded in clinical coursework. Themes mapped to a literacy-to-competency progression pathway, supporting structured approaches for AI competency development and informing recommendations for faculty development, diverse learning support, and staged competency integration.
No takes yet. Share an insight, caveat, or question.
Kobeissi et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: