What is ChatGPT and what do we do with it? Implications of the age of AI for nursing and midwifery practice and education: an editorial
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Faculty focused on content preparation, assessment development, and quality control, with an emphasis on content oversight.
“While faculty focused on content preparation, assessment development, and quality control (Bumbach, 2024; Cox et al., 2023; Irwin et al., 2023; Liu et al., 2023; Thakur et al., 2023), with an emphasis on content oversight (Sessions and Ness, 2024)”
From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Irwin et al., 2023
Several studies documented improved scenario-generation capabilities and depth of educational materials.
“several studies documented improved scenario-generation capabilities and depth of educational materials”
From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Irwin et al., 2023
Educational content creation through teaching materials and case studies formed another prominent pattern.
“educational content creation through teaching materials and case studies formed another prominent pattern”
From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Irwin et al., 2023
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“Important for nursing graduates, AI can assist in developing research tasks, and can contribute to the development of critical thinking and problem-solving skills (Baashar et al., 2022; Swiecki et al., 2022).”
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- Authors
- Irwin, P., Jones, D., & Fealy, S.
- Affiliations
- Charles Sturt University (AU)
- Corresponding author
- Irwin, Pauletta
- Venue
- Nurse Education Today
- Publisher
- Elsevier BV
- Published
- 2023-08
- Volume
- 127
- Pages
- 105835
- ISSN
- 0260-6917 (ISSN-L)
- OpenAlex
- W4379197332
- Cited by
- 92
- References
- 10
- Citations by year
- 2026: 18 · 2025: 23 · 2024: 37 · 2023: 14
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nurse Education Today (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Charles Sturt University Research Output (CRO) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- ChatGPT, large language models, artificial intelligence in nursing, midwifery practice, nursing education, midwifery education
- MeSH terms
- Artificial Intelligence, Educational Status, Female, Humans, Midwifery, Pregnancy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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