From prompting to practice: Empowering faculty with AI and prompting tools

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Authors: Erin Schroeder, Jennifer Johnson
Cited by: 2
References: 6

Abstract

As artificial intelligence (AI) transforms nursing education, faculty must develop digital literacy and prompt engineering skills to integrate these tools effectively. This paper explores how core nursing competencies align with prompt engineering practices. Practical frameworks and examples support educators in designing AI-assisted learning materials that strengthen engagement, personalization, and competency-based instruction. By recognizing prompting as a natural extension of familiar skills, nurse educators can confidently adopt AI to enhance instructional design and student outcomes while maintaining pedagogical integrity. • Prompt engineering aligns with core nursing education competencies • Faculty can use AI tools to personalize learning and increase engagement • Practical frameworks help educators design AI-supported learning content • Prompting supports ethical, efficient, and accurate instructional design • AI integration promotes innovation while maintaining pedagogical standards

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Simulation-Based Education in Healthcare Intelligent Tutoring Systems and Adaptive Learning

Publication details

Journal / source
Nurse Education Today
Publisher
Elsevier BV
Volume
163
Pages
107096–107096
Publication date
30 March 2026
Language
EN