Nursing academics link student GenAI misconduct to future unprofessional and unsafe clinical conduct¶
Claim · All claims
Evidence · 1 study (2 entries) · qualitativer3·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Participants made direct links between academic misconduct involving GenAI and potential future professional behaviour in clinical settings. → Dabkowski 2026
q2 i? Participants raised concerns about falsified citations and AI-generated misinformation as ethically wrong in health contexts. → Dabkowski 2026 (2)
Evidence¶
Dabkowski 2026¶
Dabkowski, Elissa; Missen, Karen; Allen, Louise; Whitehead, Dean; Worn, Ryan. (2026). 'Co-pilot won't teach you to be a nurse': nursing academics' perspectives on GenAI use in undergraduate education. International Journal for Educational Integrity. https://doi.org/10.1007/s40979-026-00220-2
q2 · i? · qualitative · r3
Theme Two minor theme on shortcuts, misconduct and professional risks, from the interview study. Participant P2's quote links GenAI misuse to anticipated clinical shortcuts; another cited nurses manipulating vital-sign results.
"If a student's willing to breach AI then what shortcuts will they take in the clinical area?"
Dabkowski 2026 (2)¶
Dabkowski, Elissa; Missen, Karen; Allen, Louise; Whitehead, Dean; Worn, Ryan. (2026). 'Co-pilot won't teach you to be a nurse': nursing academics' perspectives on GenAI use in undergraduate education. International Journal for Educational Integrity. https://doi.org/10.1007/s40979-026-00220-2
q2 · i? · qualitative · r3
Participant quote (P17) in the professional-risks theme, concerning falsified citations and AI-generated misinformation. Participants drew on real-world legal cases of lawyers citing inaccurate AI output.
"If I think about the kind of nurse that we need in a healthcare setting , it's certainly not someone that sources fake references for information, because that's quite ethically and morally wrong"
Discussion¶
Related Claims¶
- Nursing academics fear GenAI overreliance undermines critical thinking, knowledge translation and graduates' readiness for safe clinical practice — related
- Academic integrity was the panel's most frequently cited GenAI policy concern, requiring clear definitions of misconduct and enforceable consequences — related
- Nursing academics hold divergent attitudes toward GenAI, from scepticism to pragmatic acceptance, and worry it may replace rather than support student learning — related
- Nursing academics report limited, unclear and inconsistently applied institutional guidance on GenAI use in teaching and assessment — related
- A significant concern for business students is wanting to use GenAI in academic work without unintentionally committing academic misconduct — related
- Academic misconduct emerges primarily from systemic pressures rather than individual moral failure, and academic integrity is a collective epistemic practice institutions must sustain — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
genai-misconduct-linked-to-professional-conduct |
title |
Nursing academics link student GenAI misconduct to future unprofessional and unsafe clinical conduct |
description |
Nursing academics link student GenAI misconduct to future unprofessional and unsafe clinical conduct |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — dabkowski-2026, dabkowski-2026-2 |
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