Simulation-based learning in nurse education: systematic review.

By R. Cant, Simon Cooper. Journal of Advanced Nursing, 2010

988 citations recorded by the source corpus.

Subfields: Emergency Medical Services, Physiology, Surgery

View Paper: https://www.semanticscholar.org/paper/46deb099ec85c29c3610ccdcfaafdbbb1c68d3bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Emergency Medical Services

1. Ziwen Teuber
2. Lixiang Yan
3. Samuel Greiff
4. Dragan Gasevic

In Physiology

1. Ziwen Teuber
2. Lixiang Yan
3. Samuel Greiff
4. Dragan Gasevic

In Surgery

1. Ziwen Teuber
2. Lixiang Yan
3. Samuel Greiff
4. Dragan Gasevic

Citations in the corpus

• Promises and challenges of generative artificial intelligence for human learning (2024, positive): “These enhancements allow students to interact naturally and perform procedural actions as though they were in real professional settings—a concept that has proven effective in virtual internships 67 and healthcare simulations 68 .”