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Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Embracing a New Frontier: Generative AI in Nursing Education
Stacey A Hobbick1, Sandra D Shapiro2, Deirdre Shoemake3
1About the Authors Stacey Hobbick, DNP, MSN-Ed, AMB-BC, MEDSURG-BC, CNE, is an assistant professor of clinical nursing, Oregon Health & Science University, Portland, Oregon.
Abstract:
This article explores the educational implications of incorporating generative artificial intelligence (AI) into a prelicensure baccalaureate nursing program, demonstrating how AI-enhanced resources can bridge gaps in nursing education and improve workflow efficiency. Student feedback affirms the efficacy of our approach, highlighting improved readability and alignment of course materials. The accuracy and ethical considerations of AI-generated content are also discussed. Generative AI has the potential to revolutionize nursing education by fostering adaptive learning environments and preparing students for a health care landscape focused on preventative care and wellness promotion.
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