Tracking how artificial intelligence is changing nursing education worldwide.
Updated: 14 August 2026
Sources monitored: Research • Universities • Journals • Policy • Technology • Industry
What’s New
AI literacy becomes a core priority in nursing education
Several nursing education programmes and professional bodies are increasing attention to AI literacy, moving beyond general awareness toward preparing students to evaluate, use and critically question AI in clinical environments.
Signal: ↑ Increasing
Why it matters: Nursing curricula may increasingly need explicit AI competencies.
AI adoption in nursing education is accelerating, but implementation remains uneven.
Recent activity shows growing interest in generative AI, AI-assisted simulation, personalised learning, assessment, clinical decision-support training and AI literacy for nursing students.
| Signal | Meaning |
|---|---|
| 🔥 Emerging | Rapidly increasing activity |
| ↑ Gaining momentum | Sustained growth |
| → Stable | Little significant change |
| ↓ Declining | Activity decreasing |
| ⚠️ Watch | Early but potentially important development |
What is happening?
AI is increasingly being incorporated into nursing education through simulation, personalised learning, assessment and student support.
What’s changing?
The conversation is moving from “Should nursing schools use AI?” toward “How should nurses be educated to work safely with AI?”
What’s gaining momentum?
- Generative AI literacy
- AI-assisted simulation
- Virtual patients
- Adaptive learning
- AI-supported assessment
- Clinical AI education
- Faculty AI training
What’s losing momentum?
Identify areas where publication activity, funding, institutional attention or other indicators are declining.
Leading universities
Leading researchers
Leading countries
Leading organisations
Emerging institutions
This is particularly important for the credibility of your idea.
At the bottom of each monitor:
Sources monitored
Research: Scopus · Web of Science · PubMed · Google Scholar
Universities: University websites · Nursing schools
Policy: WHO · Governments · Regulators
Industry: AI companies · EdTech companies
Professional: Nursing associations · Accreditation bodies