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Nursing Simulation 3.0: Contemporary issues in transitioning to extended reality.

Thomas D Parsons¹, Lihong Ou¹

¹Edson College of Nursing and Health Innovation, Arizona State University, AZ, USA.

Nurse Education Today

|July 6, 2026

Summary

Nursing simulation has evolved from static models to AI-enabled extended reality platforms. Emerging immersive technologies offer adaptive learning but require careful consideration of implementation challenges.

Keywords:

Artificial intelligence Augmented reality Clinical training Extended reality Nursing education Simulation Virtual reality

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Area of Science:

Nursing Education
Medical Simulation Technology

Background:

Simulation is a cornerstone of nursing education for skill and decision-making development.
Traditional simulation tools, while advanced, may not fully capture complex patient interactions or dynamic clinical settings.

Purpose of the Study:

To examine the historical evolution of nursing simulation through distinct phases.
To explore the potential of emerging immersive technologies in nursing education.

Main Methods:

Historical analysis of simulation development in nursing education.
Review of three phases: Simulation 1.0 (static), Simulation 2.0 (computerized), and Simulation 3.0 (AI-enabled extended reality).

Main Results:

Nursing simulation has progressed through static task trainers, computerized manikins, and AI-enabled extended reality platforms.
Immersive technologies like virtual reality, augmented reality, and mixed reality offer interactive, scalable, and adaptive learning environments.

Conclusions:

Emerging immersive simulation technologies present new opportunities for nursing education and workforce preparation.
Challenges including cost, infrastructure, interoperability, data security, and faculty training need careful consideration for effective integration.