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TRUVACE RECORD VERSION
record: TRV-2026-2787
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T17:23:56.961129Z
status: published
lens: p_space
sector: education
headline: Levels of Artificial Intelligence Literacy Among Nursing Students: A Systematic Review and Meta-Analysis
dek: BACKGROUND: The growing integration of artificial intelligence (AI) into nursing education makes AI literacy a critical competency for students to effectively use AI and advance educational practices. PURPOSE: In this study, we aimed to assess nursing students' AI literacy and to examine the influence of year of study and AI training on their literacy levels. METHODS: We searched 10 databases from inception to February 23, 2026. A random-effects model was used to pool overall AI literacy scores, with subgroup an…
gain_title: (none)
problem_title: A meta-analysis of 11 studies found nursing students' AI literacy was moderate, with a pooled mean score of 4.80, and lower among first-year students and those without prior AI training.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: A meta-analysis of 11 studies found nursing students' AI literacy was moderate, with a pooled mean score of 4.80, and lower among first-year students and those without prior AI training.
problem_evidence: The pooled mean AI literacy score was 4.80 (95% confidence interval: 4.41, 5.19). | Subgroup analyses revealed lower scores among first-year students and students without prior AI training.
quick_read: A systematic review and meta-analysis pooled 11 studies of nursing students' AI literacy. The combined mean score was 4.80, with a 95% confidence interval of 4.41 to 5.19, which the authors describe as a moderate level.

Scores were lower among first-year students and among students who had no prior AI training. The authors conclude that literacy needs improvement in these groups and recommend targeted, tiered training from educators.

The review searched 10 databases from inception to February 23, 2026, and was published in Nurse Educator in May 2026.
limitation: 
tag: Evidence-backed problem
key_points: The meta-analysis included 11 studies of nursing students' AI literacy. | The pooled mean AI literacy score was 4.80 (95% confidence interval: 4.41 to 5.19). | Subgroup analyses found lower scores among first-year students. | Students without prior AI training also scored lower. | The authors recommend that educators use targeted, tiered AI training.
rundown: Researchers searched 10 databases from their inception to February 23, 2026, and pooled overall AI literacy scores from 11 studies using a random-effects model. They ran subgroup analyses to explore sources of heterogeneity between studies.

The pooled mean score of 4.80 was characterised as moderate. The authors aimed to test how year of study and AI training affect literacy, and both factors were linked to differences: first-year students and those without prior training scored lower.

Based on these results, the authors say educators should implement targeted, tiered training, aimed particularly at first-year students and those who have not previously been trained in AI.
sources:
- peer_reviewed | Nurse Educator | https://doi.org/10.1097/nne.0000000000002175 | 2026-05-13
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