Nursing Student and Faculty Attitudes, Perceptions, and Behavioral Intentions of Artificial Intelligence Use in Nursing Education
Mollie Ostick, Bette Mariani, Catherine P. Lovecchio, Helene Moriarty
Abstract
AIM: This integrative review critiques and synthesizes current research on nursing faculty and students' attitudes, perceptions, and behavioral intentions toward artificial intelligence (AI)-based tools in nursing education. BACKGROUND: AI's rapid integration into health care offers transformative potential in nursing across clinical care, education, policy, and research. METHOD: Following Whittemore and Knafl's methodology, Pubmed, CINAHL, and ERIC were searched for studies written in English assessing attitudes, perceptions, and behavioral intentions of nursing students and faculty regarding AI use in nursing education. RESULTS: Six quantitative studies encompassing 2,430 participants across five countries were included. They revealed generally positive attitudes toward the use of AI in nursing education. Only one study included faculty. CONCLUSION: A logical next step is to compare and contrast student and faculty perceptions of using AI. Generative AI tools must be studied within nursing education to allow for informed integration and the development of appropriate training programs.