This article explores effective AI integration in nursing education, enhancing engagement and reducing workload.
Background: Since the introduction of artificial intelligence (AI) platforms, many nurse educators have been slow to adopt AI, and so they have been missing opportunities to enhance teaching and learning through increased AI competency. This article explores how nurse educators, in a variety of nursing pathways, can more effectively use AI in their teaching practices. Method: Current trends, challenges, and innovations in AI use within nursing education are reviewed. We also discuss common fears surrounding AI adoption, review AI platform uses, and present how to shape AI prompts for the desired outcomes. Results: Strategic incorporation of AI tools can lead to improved student engagement and support, while simultaneously reducing faculty workload. Examples show how AI can be used to personalize learning, reduce faculty workload, and increase student engagement. Conclusion: Increasing AI competency among nurse educators helps meet the current and future needs of nursing education.
No takes yet. Share an insight, caveat, or question.
Miller et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: