Revolutionizing nursing education through Ai integration: A reflection on the disruptive impact of ChatGPT
Abstract
Artificial intelligence (AI) is driving global change. An AI language model like ChatGPT could revolutionize the delivery of nursing education in the future. ChatGPT is an AI-enabled text generator that has garnered significant attention due to its ability to engage in conversations and answer questions. Nurse educators play a crucial role in preparing nursing students for a technology-integrated healthcare system, and the emergence of ChatGPT presents both opportunities and challenges. While the technology has limitations and potential biases, it also has the potential to benefit students by facilitating learning, improving digital literacy, and encouraging critical thinking about AI integration in healthcare. Nurse educators can incorporate ChatGPT into their curriculum through formative or summative assessments and should prioritize faculty development to understand and use AI technologies effectively. Collaboration between educational institutions, regulatory bodies, and educators is crucial to establish provincial and national competencies and frameworks that reflect the increasing importance of AI in nursing education and practice. It is paramount that nurses and nurse educators be open to AI-enabled innovations as well as continue to critically think about their potential value to advance the profession so nurses are better prepared to lead the digital future.
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The key conceptual gap was insufficient integration with established pedagogical frameworks and unclear definitions of GenAI roles in education.
“The key con ceptual gap was insufficient integration with established pedagogical frameworks and unclear definitions of GenAI roles in education”
From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Castonguay et al., 2023
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- Authors
- Castonguay, A., Farthing, P., Davies, S., Vogelsang, L., Kleib, M., Risling, T., & Green, N.
- Affiliations
- Université de Montréal (CA)
- Saskatchewan Polytechnic (CA)
- University of Regina (CA)
- University of Lethbridge (CA)
- University of Alberta (CA)
- University of Calgary (CA)
- Corresponding author
- Castonguay, Alexandre
- ORCID
- Venue
- Nurse Education Today
- Publisher
- Elsevier BV
- Published
- 2023-10
- Volume
- 129
- Pages
- 105916
- ISSN
- 0260-6917 (ISSN-L)
- OpenAlex
- W4384700522
- Cited by
- 203
- References
- 5
- Citations by year
- 2026: 71 · 2025: 70 · 2024: 53 · 2023: 9
- FWCI
- 8.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nurse Education Today (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- ChatGPT, artificial intelligence in nursing education, large language models, nursing students, digital literacy, critical thinking, faculty development, AI evaluation, artificial intelligence in healthcare, nursing curriculum
- MeSH terms
- Artificial Intelligence, Curriculum, Delivery of Health Care, Education, Nursing, Humans, Learning
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