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A Pilot Study Exploring the Use of Generative Artificial Intelligence in Nursing Education
Jill Campbell1, Ashley Borchardt, Mary Heppner
1About the Authors Jill Campbell, DNP, RN, PHN, CNE, CDCES, is associate professor, St. Catherine University, School of Nursing, Saint Paul, MN. Ashley Borchardt, MSN, RN, AHN-BC, is assistant professor, St. Catherine University, School of Nursing. Mary Heppner, MSN, RN, is assistant professor, St. Catherine University, School of Nursing. Jessica Miehe, DNP, MSN, RN, is associate professor, St. Catherine University, School of Nursing. For more information, contact Dr. Campbell at jacampbell700@stkate.edu .
Abstract:
In this pilot study, which utilized a pretest/posttest design, baccalaureate nursing students used artificial intelligence to generate a case scenario and nursing care plan and analyzed the content for accuracy, bias, and holistic nursing practices. The authors found that students had statistically significant improvements in their perceived ability to identify accurate nursing content, bias, and holistic nursing concepts. This article provides recommendations for nurse educators to improve students' ability to analyze artificial intelligence-generated content.
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