aceExploring Policy for Generative Artificial Intelligence in Nursing Education: Student and Faculty Perceptions
Background: Generative artificial intelligence (GAI) is rapidly reshaping higher education, creating opportunities and challenges related to academic integrity, educator readiness, and policy clarity, particularly in nursing education. Purpose: To examine nurse educator and student perspectives on GAI use, institutional policies, syllabus language, and best practices in nursing education. Methods: A descriptive quantitative survey was completed by 211 nurse educators and 89 nursing students (N = 300) across dive…
Among 211 nurse educators and 89 nursing students, generative AI policies and expectations were communicated inconsistently, leaving students especially confused about acceptable use.
The study is a descriptive survey of perceptions, and the abstract reports no outcome measures showing how policy clarity affects academic integrity or learning.
Evidence
- Peer-reviewedNurse Educator2026-10-14
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Truvace Impact Record TRV-2026-1389, v1: “Exploring Policy for Generative Artificial Intelligence in Nursing Education: Student and Faculty Perceptions.” Truvace, 2026-10-15. /record/TRV-2026-1389 (accessed at citation time). sha256 b755f34990c917c4…
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