{"title":"Prompt Engineering for Nurse Educators.","authors":"Grace H Sun","doi":"10.1097/NNE.0000000000001705","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The integration of generative artificial intelligence (AI) tools like OpenAI's ChatGPT into nursing education marks a transformative advance in personalized learning and interactive engagement.</p><p><strong>Problem: </strong>Variability in faculty's experience with AI outputs highlights the need for well-crafted prompts that align with educational objectives, maximize learning outcomes, and ensure contextual relevance. Effective prompting is a key to eliciting accurate, relevant responses from AI, fostering a dynamic learning environment that bolsters student comprehension of complex topics.</p><p><strong>Approach: </strong>This article examines the critical role of prompt engineering in optimizing AI-generated content's effectiveness within academic settings. With a detailed guide and strategies specifically designed for nursing education, the article prepares faculty to proficiently use generative AI.</p><p><strong>Conclusions: </strong>By mastering prompt engineering, educators can leverage AI tools as powerful aids, potentially significantly enhancing teaching effectiveness, work efficiency, and student learning outcomes.</p>","PeriodicalId":54706,"journal":{"name":"Nurse Educator","volume":" ","pages":"293-299"},"PeriodicalIF":3.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nurse Educator","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/NNE.0000000000001705","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The integration of generative artificial intelligence (AI) tools like OpenAI's ChatGPT into nursing education marks a transformative advance in personalized learning and interactive engagement.
Problem: Variability in faculty's experience with AI outputs highlights the need for well-crafted prompts that align with educational objectives, maximize learning outcomes, and ensure contextual relevance. Effective prompting is a key to eliciting accurate, relevant responses from AI, fostering a dynamic learning environment that bolsters student comprehension of complex topics.
Approach: This article examines the critical role of prompt engineering in optimizing AI-generated content's effectiveness within academic settings. With a detailed guide and strategies specifically designed for nursing education, the article prepares faculty to proficiently use generative AI.
Conclusions: By mastering prompt engineering, educators can leverage AI tools as powerful aids, potentially significantly enhancing teaching effectiveness, work efficiency, and student learning outcomes.
期刊介绍:
Nurse Educator, a scholarly, peer reviewed journal for faculty and administrators in schools of nursing and nurse educators in other settings, provides practical information and research related to nursing education. Topics include program, curriculum, course, and faculty development; teaching and learning in nursing; technology in nursing education; simulation; clinical teaching and evaluation; testing and measurement; trends and issues; and research in nursing education.