Embracing a New Frontier: Generative AI in Nursing Education

Area of Science:

• Nursing Education Technology
• Artificial Intelligence in Healthcare
• Educational Psychology

Background:

• Traditional nursing education faces challenges in adapting to evolving healthcare demands.
• There is a growing need for innovative educational tools to enhance student learning and clinical readiness.
• Generative artificial intelligence (AI) presents a novel opportunity to address these educational gaps.

Purpose of the Study:

• To explore the educational implications of integrating generative AI into a prelicensure baccalaureate nursing program.
• To assess the impact of AI-enhanced resources on nursing education and workflow efficiency.
• To evaluate student feedback on the efficacy and alignment of AI-integrated course materials.

Main Methods:

• Implementation of generative AI tools within a baccalaureate nursing curriculum.
• Collection and analysis of student feedback regarding AI-enhanced learning resources.
• Discussion of the accuracy and ethical considerations pertinent to AI-generated educational content.

Main Results:

• AI-enhanced resources demonstrated efficacy in bridging gaps in nursing education.
• Student feedback indicated improved readability and alignment of course materials.
• The study addressed critical aspects of accuracy and ethical considerations for AI-generated content.

Conclusions:

• Generative AI has the potential to significantly enhance nursing education through adaptive learning environments.
• Integrating AI prepares nursing students for a future healthcare landscape emphasizing preventative care and wellness.
• AI tools can revolutionize nursing pedagogy, improving both educational outcomes and workflow efficiency.