Litcius/Paper detail

Challenges for future directions for artificial intelligence integrated nursing simulation education

Sun Young Jung

2023Korean journal of women health nursing/Yeoseong geon'gang ganho hag'hoeji/Yeoseong geon-gang ganho hakoeji49 citationsDOIOpen Access PDF

Abstract

Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism, engagement, and personalization in nursing simulations, it is also important to address any issues associated with the technology, teaching methods, and ethical considerations of AI. In nursing simulation education, AI does not replace the valuable role of nurse educators but can enhance the educational effectiveness of simulation by promoting interdisciplinary collaboration, faculty development, and learner self-direction. We should continue to explore, innovate, and adapt our teaching methods to provide nursing students with the best possible education.

Topics & Concepts

PersonalizationRealismNurse educationNursingNurse educatorPsychologyComputer scienceEngineering ethicsMedicineMedical educationEngineeringArtLiteratureWorld Wide WebSimulation-Based Education in HealthcareArtificial Intelligence in Healthcare and EducationNursing Diagnosis and Documentation