AI literacy and formal AI training remain low among nursing and health-professions students, though attitudes are largely positive¶
Claim · All claims
Evidence · 1 study · reviewr3·q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2031: baselines and conditions change
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? The review reports that most surveyed students had received no formal AI training and showed low AI knowledge, while majorities held positive attitudes toward AI in education and healthcare. → Alrazeeni 2026
Evidence¶
Alrazeeni 2026¶
Alrazeeni, D. M., Alharrasi, M., Khan, R. M. K., Biswas, R. K., Tama, I. J., Halder, C. R., Deb, B., Bashar, F., & Akter, F. (2026). Transforming Nursing Education with Artificial Intelligence: A Systematic Review (2010–2025). SAGE Open Nursing. https://doi.org/10.1177/23779608261424597
q2 · i? · review · r3
The review reports, citing Allam et al. (2024), a multi-national cross-sectional survey of 4,492 medical students in which "92.4% of students had not received formal AI training, and 87.1% exhibited a low level of AI knowledge" while 84.9% believed AI would revolutionize medicine and radiology. Percentages are descriptive; no effect sizes are printed.
"92.4% of students had not received formal AI training, and 87.1% exhibited a low level of AI knowledge. 84.9% believed AI would revolutionize medicine and radiology"
Discussion¶
Related Claims¶
- Fewer than 10% of teaching staff and students in surveyed Arab higher education institutions had received formal AI training — related
- Nursing students and faculty report concerns that AI use may weaken critical thinking, enable plagiarism and misinformation, and create unequal access — related
- Non-users cite lack of training, distrust of responses, preference for teaching staff, academic-integrity fear and lack of interest as reasons for not using chatbots — related
- Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
- Youth hold varied attitudes toward generative AI, with non-users citing concerns about helpfulness, academic integrity, knowledge, privacy, and awareness — related
- Faculty concerns centered on academic integrity (80%) and student over-reliance on AI (70%), and their most requested development topic was AI ethics and academic integrity (70%) — related
- Teacher educators show shallow understanding of GenAI tools and gaps in aligning AI use with pedagogical goals — related
- A widely used healthcare algorithm underestimated the medical needs of Black patients because it used healthcare spending as a proxy for health status — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
low-ai-literacy-positive-attitudes-health-students |
title |
AI literacy and formal AI training remain low among nursing and health-professions students, though attitudes are largely positive |
description |
AI literacy and formal AI training remain low among nursing and health-professions students, though attitudes are largely positive |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
source_checked |
2026-10-20 |
recheck_by |
2031 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — alrazeeni-2026 |
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