Utilizing GPT 4.0 with prompt learning in nursing education: a case study approach based on Benner's theory
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In healthcare, AI chatbots have been used to provide medical assistance and information, answer medical questions and tasks, and perform various medical evaluations without professional training or enforcement.
“In healthcare, these AI chatbots have been used to provide medical assistance and information, answer medical questions and tasks, and perform various medical evaluations without professional training or enforcement (Antaki et al., 2023; Goktas et al., 2024).”
From Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review (2024) · cites this paper as Goktas et al., 2024
Some authors stated the use of prompt engineering, prompt learning, and direct instruction strategy via prompt to guide the use of the ChatGPT.
“Some authors stated the use of prompt engineering (Taira et al., 2023), prompt learning (Goktas et al., 2024), and direct instruction strategy via prompt (Zong, 2024) to guide the use of the ChatGPT.”
From Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review (2024) · cites this paper as Goktas et al., 2024
Educators indicated hesitancy in incorporating ChatGPT in nursing education because it transcends an ethical issue, leading to data security concerns.
“In one study (Quattrini et al., 2024), educators indicated hesitancy in incorporating ChatGPT in nursing education because it transcends an ethical issue, leading to data security concerns, among others (Goktas et al., 2024).”
From Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review (2024) · cites this paper as Goktas et al., 2024
Some studies noted challenges concerning academic integrity, including plagiarism, providing inaccurate information and references.
“Some studies noted challenges concerning academic integrity, including plagiarism, providing inaccurate information and references (Dagcı et al., 2024; Goktas et al., 2024)”
From Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review (2024) · cites this paper as Goktas et al., 2024
Goktas et al. (2024) demonstrated that Benner's framework can inform the design of stage-specific prompts for AI-assisted learning.
“While Goktas et al. (2024) demonstrated that Benner's framework can inform the design of stage-specific prompts for AI-assisted learning”
From When the algorithm enters the classroom: A critical integrative review of large language models, nursing education structural gaps, and the reconstitution of professional identity (2026) · cites this paper as Goktas et al., 2024
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Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review
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Sun, Y., Li, H., Tao, X., Zhou, X., Gururajan, R., & Zhang, J. (2026) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2026.100675
- Authors
- Goktas, P., Kucukkaya, A., & Karacay, P.
- Venue
- Teaching and learning in nursing
- Publisher
- Elsevier BV
- Published
- 2024-04
- Volume
- 19
- Issue
- 2
- Pages
- e358-e367
- ISSN
- 1557-2013 (ISSN-L)
- 1557-3087
- OpenAlex
- W4390748754
- Cited by
- 43
- References
- 30
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 13
- FWCI
- 4.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Teaching and learning in nursing (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
- GPT-4, prompt learning, ChatGPT, nursing education, AI chatbots, virtual mentors, large language models, algorithmic bias, responsible AI use
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