Cited by 38Artificial Intelligence in Healthcare and EducationArtificial Intelligence in EducationInnovations in Medical Education

AI Image-Generation as a Teaching Strategy in Nursing Education

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Reed, Janet, Alterio, Brittany, Coblenz, Hannah, O'Lear, Taylor, Metz, Tomek·2023·Journal of Interactive Learning Research

Abstract

Generative artificial intelligence (AI) allows for the transformation of written text into artistic images. Scholars and researchers are beginning to explore the benefits of this technology to improve reflective practices and critical analysis in education. The extent to which AI-generated images can be used to explore cultural stereotypes and mental representations of the nursing profession has not yet been studied. This article describes a case study of using generative-AI images created by Midjourney with undergraduate nursing students to examine their perceptions and fears of the nursing profession. The research explored how students experienced the process of using AI-generated art as a teaching tool to increase their reflections and discussions on professional nursing topics. Images were used to encourage both individual and collaborative reflection and discussion on nursing topics. Results of this qualitative, exploratory study point to therapeutic and technological outcomes of using AI image-generation as a strategy to encourage reflection and discussion on student’s perceptions and fears of the nursing profession. Implications for education and practice are discussed. Keywords- artificial intelligence, image-generation, Midjourney, nursing education

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  • Integration of text-to-speech and speech-to-text technologies enhances simulation realism by creating more authentic patient interactions and enabling personalised educational opportunities.

    “Such integration enhances simulation realism by creating more authentic patient interactions and enabling personalised educational opportunities (Reed and Dodson, 2024; Bumbach et al., 2024; Reed et al., 2023).”

    From Patterns, advances, and gaps in using ChatGPT and similar technologies in nursing education: A PAGER scoping review (2025) · cites this paper as Reed et al., 2023

    The “Generative AI in Nursing Education” section says educators who understand generative AI can provide personalized learning experiences and mentions virtual simulation. It does not discuss text-to-speech or speech-to-text integration, or show that these technologies make patient interactions more authentic or simulations more realistic. Page numbers were not provided in our copy. (LLM, conf=0.82)

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Cited by

Sorted by citations

Authors
Reed, J., Alterio, B., Coblenz, H., O'Lear, T., & Metz, T.
Affiliations
Kent State University (US)
Venue
Journal of Interactive Learning Research
Published
2023
Volume
34
Issue
2
Pages
369-399
ISSN
1093-023X (ISSN-L)
OpenAlex
W4411076142
Cited by
38
References
1
Citations by year
2026: 14 · 2025: 14 · 2024: 6 · 2023: 4
FWCI
1.54
Type
journal article
Language
en
Open access
Locations
The Journal of Interactive Learning Research (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
Keywords
generative AI, AI image generation, Midjourney, nursing education, nursing students, reflective practice, collaborative reflection, cultural stereotypes

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