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TRV-2026-0808Certified recordPeer-reviewed

Artificial Intelligence in Nursing Education: A Scoping Review of Academic Perspectives

Aim To examine nursing academics' perceptions and experiences of artificial intelligence (AI) integration in nursing education. Design Scoping review. Data sources MEDLINE, CINAHL, ERIC, Scopus, and Web of Science were searched in August 2025. Methods A scoping review using Joanna Briggs Institute methodology. Peer-reviewed original research and reviews published in English (2019-2025) were included if they examined nursing educators' perspectives, attitudes, or experiences with AI in nursing education across un…

Education · The Trace — both readings · certified 2026-08-17 · v1 · article view · machine-readable

Current reading — gain

Nursing academics selectively use AI to improve academic productivity and research writing efficiency.

Current reading — problem

Despite belief AI will revolutionise nursing education, actual implementation remains conservative at augmentation level with none achieving transformative redefinition.

What this doesn’t fix

Review limited to English-language peer-reviewed research from 2019-2025 and 15 studies, with no transformative redefinition observed, indicating findings may not generalize beyond included contexts.

Evidence

Reader signal

How should this claim be treated?

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Truvace Impact Record TRV-2026-0808, v1: “Artificial Intelligence in Nursing Education: A Scoping Review of Academic Perspectives.” Truvace, 2026-08-17. /record/TRV-2026-0808 (accessed at citation time). sha256 5e1b3be376b17d0b

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

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