Reimagining nursing education: Leveraging competency-based education, artificial intelligence, and simulation for a...

Area of Science:

• Nursing Education
• Health Workforce Development
• Educational Technology

Background:

• Nurses are crucial to U.S. healthcare and population health improvement.
• Nursing education requires transformation to a responsive, adaptive, competency-based system.
• A diverse, practice-ready nursing workforce is essential.

Purpose of the Study:

• To present a vision for integrating AI, CBE, and simulation in nursing education.
• To personalize learning experiences and enhance skill acquisition.
• To foster cultural respect and prepare a diverse nursing workforce.

Main Methods:

• Proposing a shift from rigid, time-bound curricula to flexible, competency-driven pathways.
• Utilizing hypothetical scenarios to illustrate innovation implementation.
• Focusing on learner progression at their own pace.

Main Results:

• Accommodating diverse learner circumstances and learning styles.
• Expanding access for underrepresented groups, including adult learners and caregivers.
• Cultivating a workforce skilled in community-oriented care and addressing social determinants of health.

Conclusions:

• Reimagining nursing education through AI, CBE, and simulation.
• Building a diverse, inclusive, and practice-ready nursing workforce.
• Advancing health equity and improving population health outcomes nationwide.