转化式学习
杠杆(统计)
生成语法
相关性(法律)
计算机科学
护士教育
理解力
心理学
医学教育
医学
教育学
人工智能
政治学
程序设计语言
法学
出处
期刊:Nurse Educator
[Lippincott Williams & Wilkins]
日期:2024-07-05
卷期号:49 (6): 293-299
被引量:24
标识
DOI:10.1097/nne.0000000000001705
摘要
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.
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