Prompt Engineering for Nurse Educators

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.