The use of artificial intelligence for graduate nursing education: An educational evaluation

印为红字的 分级(工程) 医学教育 最佳实践 汇报 心理学 护理部 计算机科学 医学 教育学 工程类 土木工程 经济 管理
作者
Michael D. Bumbach,Jane M. Carrington,Rene Love,Ragnhildur I. Bjarnadóttir,Hwayoung Cho,Gail M. Keenan
出处
期刊:Journal of the American Association of Nurse Practitioners [Lippincott Williams & Wilkins]
卷期号:36 (9): 486-490 被引量:12
标识
DOI:10.1097/jxx.0000000000001059
摘要

ABSTRACT: With artificial intelligence (AI) rapidly advancing, advanced practice nurses must understand and use it responsibly. Here, we describe an assignment in which Doctor of Nursing Practice (DNP) students learned to use generative text AI. Using our program and course outcomes, developed from the 2021 American Association of Colleges of Nursing (AACN) Essentials competency for DNP students to learn and use AI, we reviewed the literature seeking examples using ChatGPT for the DNP informatics course. No published examples existed to guide us toward infusing a ChatGPT assignment into the course. We developed a novel assignment that included a guide for students on how to use ChatGPT. Students were given time before the assignment to learn the AI/chatbot technology. They were then given the assignment and grading rubric. The assignment was to develop a tool for their current or future practice using ChatGPT. During the course faculty debrief, we learned that few students had questions and the assignment was clear. We also learned that students who sought to develop straightforward, uncomplicated patient tools succeeded with the technology. Those who sought to create something for complex patients had more challenges. Nursing education and practice will be influenced by the increasing prevalence of AI. This manuscript outlines an AI-based assignment for graduate nursing education intended for the students to become familiar with current AI and best practices for patient care. The assignment was well received by students. We plan to use it again in the next course offering.
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