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From prompting to practice: Empowering faculty with AI and prompting tools
Erin Schroeder1, Jennifer Johnson1
1Ursuline College, United States of America.
Nurse Education Today
|April 3, 2026
Summary
Nurse educators can enhance teaching by developing digital literacy and prompt engineering skills for artificial intelligence (AI). This approach integrates AI into nursing education, improving student engagement and outcomes.
Area of Science:
- Nursing Education
- Artificial Intelligence
- Digital Literacy
Background:
- Artificial intelligence (AI) is increasingly transforming educational landscapes.
- Nursing faculty require new skills, including digital literacy and prompt engineering, to effectively integrate AI tools.
- Core nursing competencies must be aligned with emerging AI pedagogical practices.
Purpose of the Study:
- To explore the alignment between core nursing competencies and prompt engineering practices.
- To provide practical frameworks and examples for nurse educators using AI in instruction.
- To support the enhancement of engagement, personalization, and competency-based learning through AI.
Main Methods:
- Conceptual analysis of nursing competencies and prompt engineering.
- Development of practical frameworks for AI integration in nursing education.
- Illustrative examples of AI-assisted learning material design.
Main Results:
- Prompt engineering can be viewed as a natural extension of existing nursing pedagogical skills.
- AI-assisted learning materials can significantly strengthen student engagement and personalized instruction.
- Integrating AI effectively can enhance competency-based education in nursing.
Conclusions:
- Nurse educators can confidently adopt AI tools by recognizing prompting as an extension of familiar skills.
- AI integration holds the potential to significantly enhance instructional design and improve student outcomes in nursing education.
- Maintaining pedagogical integrity is crucial while adopting AI for educational advancement.
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