Student and Faculty Perceptions and Use of Generative Artificial Intelligence in Nursing Education
Bibliographic Data
| ID | 21456296 |
|---|---|
| Authors | Jason Blomquist (0009-0006-5458-9369, Boise State University), Jenny Alderden (0000-0001-6491-1311, Boise State University), Sarah Llewellyn (0000-0001-9990-0591, Boise State University), Meagan Haynes (MH Evaluation & Research, Boise, Idaho.), Ellie Dworak (0000-0003-3039-8489, Albertsons Library, Boise State University, Boise, Idaho) |
| Year | 2025 |
| Volume | 64 |
| Issue | 8 |
| Pages | 519-522 |
| Publication date | 2025-08-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Nursing Education (JOURNAL) |
| Journal identifiers | ISSN: 0148-4834 • E-ISSN: 1938-2421 |
| Publisher | SLACK, Inc (PUBLISHER) |
| DOI | 10.3928/01484834-20250312-06 |
| PMID | 40801511 |
| OpenAlex | W4413112464 |
| Language | EN |
| References cited | 17 |
Background Artificial intelligence (AI) is changing health care, and understanding how nursing students and faculty perceive and use AI is crucial for developing effective educational guidelines. Method A pilot survey examined AI usage patterns, perceptions, and concerns among nursing students ( n = 220) and faculty ( n = 26). Data were analyzed using descriptive statistics and qualitative content analysis. Results Faculty reported significantly higher AI usage than students (27 vs. 12 times/semester, p = .007) and perceived greater importance of AI in future careers ( p = .002). Although 77% of faculty addressed AI in courses, 33% of students remained uncertain about permitted uses. Academic misconduct concerns were the primary barrier to student AI adoption (73%). Conclusion This study suggests a dual approach is needed to develop AI competencies when implementing structured frameworks that integrate AI tools into curricula while preserving critical thinking and preparing students for AI-enhanced environments
Curriculum · Medical education · Nurse education · Pedagogy · Perception · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Medicine · Nursing · Psychology · Simulation-Based Education in Healthcare
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| Citation velocity | historical |
|---|---|
| Highly cited | No |