Visual Generative Artificial Intelligence as a Pedagogical Tool in Graduate Nursing Education

Abstract

Purpose: Generative artificial intelligence (GenAI) is rapidly influencing higher education, including nursing education, where graduates must develop technological competence alongside critical thinking and creativity. Although existing literature has primarily examined GenAI for text generation and knowledge support, limited attention has been given to the pedagogical potential of visual GenAI tools such as AI generated images. The purpose of this paper is to describe and critically reflect on an AI integrated assignment implemented in a graduate nursing course that used AI generated visuals to stimulate creativity, support authentic assessment, and encourage critical engagement with emerging healthcare technologies.

Method: This paper presents a reflective description of a multilayered assignment implemented in a condensed seven-week summer graduate course titled Integrating Information Technology in Healthcare offered within a Master of Nursing program. The assignment required students to identify a healthcare challenge and propose an innovative technology driven solution supported by literature and illustrated using AI generated images. The project included three components: (1) development of a written proposal with visual representations, (2) an expanded report and class presentation demonstrating adaptability of the solution to another population, and (3) structured peer feedback. Students were permitted to use any AI image generation tool. Following course completion, six of the eight students provided consent for their work to be included as exemplars in this scholarly reflection. Informal student feedback gathered through an anonymous course feedback form and class discussion informed reflections on the assignment design and learning experience.

Results: Students developed six conceptual technology driven solutions addressing contemporary healthcare challenges, including augmented reality nursing support systems, community-based triage pods, robotic navigation assistants, AI powered home care companions, portable diagnostic tools, and assisted feeding robots. Informal feedback suggested high levels of engagement and satisfaction with the assignment. Students reported that the integration of AI generated images enhanced creativity, encouraged exploration of emerging technologies, and supported deeper understanding of healthcare system challenges. Learners initially experienced low confidence and technical challenges when using AI tools, particularly related to image generation limits and prompt design. However, confidence and skills improved over time, particularly in prompt development and critical evaluation of AI generated outputs.

Conclusion: Integrating visual GenAI tools within authentic assessment can support creativity, innovation, and critical thinking in graduate nursing education. When carefully designed, AI supported assignments can encourage students to critically evaluate technological solutions while maintaining alignment with professional and ethical nursing principles. The approach presented offers a practical model for educators seeking to integrate AI into curricula while preserving human-centered learning and professional accountability. Broader implications for educators, regulatory bodies, and academic institutions are discussed, highlighting emerging competency frameworks, professional development opportunities, and scholarly dissemination initiatives that support responsible AI integration. Ultimately, this work demonstrates that thoughtfully designed AI-enhanced assignments can be used to prepare graduate nursing students to navigate complex, technology-enabled healthcare environments with creativity, accountability, and human-centered care.

Citation

Virani A, Ojo-Tirimi E, Finnegan F, Steele J, Moudgil K, Rajan S, et al. Visual Generative Artificial Intelligence as a Pedagogical Tool in Graduate Nursing Education. WebLog J Nurs. wjnr.2026.h1401. https://doi.org/10.5281/zenodo.22446465