Nursing education in the age of artificial intelligence powered Chatbots (AI-Chatbots): Are we ready yet?
Open accessAbstract
This article discusses the challenges and implications of artificial intelligence powered chatbot (AI-Chatbots) in nursing education. Chat Generative Pre-trained Transformer (ChatGPT) is an AI-Chatbot that can engage in detailed dialog and pass qualification tests in various fields. It can be applied for drafting course materials and administrative paperwork. Students can use it for personalized self-paced learning. AI-Chatbot technology can be applied in problem-based learning for hands-on practice experiences. There are concerns about over-reliance on the technology, including issues with plagiarism and limiting critical thinking skills. Educators must provide clear guidelines on appropriate use and emphasize the importance of critical thinking and proper citation. Educators must proactively adjust their curricula and pedagogy. AI-Chatbot technology could transform the nursing profession by aiding and streamlining administrative tasks, allowing nurses to focus on patient care. The use of AI-Chatbots to socially assist patients and for therapeutic purposes in mental health shows promise in improving well-being of patients, and potentially easing shortage and burnout for healthcare workers. AI-Chatbots can help nursing students and researchers to overcome technical barriers in nursing informatics, increasing accessibility for individuals without technical background. AI-Chatbot technology has potential in easing tasks for nurses, improving patient care, and enhancing nursing education.
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Existing AI tools have been utilized to facilitate personalized, self-paced learning, uncover insights for targeted interventions, strengthen decision-making and clinical reasoning in nursing students, provide AI-assisted diagnostics, improve academic writing, and apply advancements in patient care.
“For instance, existing AI tools have been utilized to facilitate personalized, self-paced learning within courses, uncover new insights for targeted interventions, strengthen decision-making processes and clinical reasoning skills in nursing students, provide AI-assisted diagnostics, improve academic writing, and apply these advancements in patient care [26–31].”
From Exploring the integration of AI and national quality courses in China: a study on teaching practices in nursing smart education (2025) · cites this paper as [26]
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References 7 · Cited by 221
- Authors
- Tam, W., Huynh, T., Tang, A., Luong, S., Khatri, Y., & Zhou, W.
- Affiliations
- National University of Singapore (SG)
- RMIT Vietnam (VN)
- Corresponding author
- Tang, Arthur
- Venue
- Nurse Education Today
- Publisher
- Elsevier BV
- Published
- 2023-10
- Volume
- 129
- Pages
- 105917
- ISSN
- 0260-6917 (ISSN-L)
- OpenAlex
- W4384699745
- Semantic Scholar
- 18b40d935221c425105ce7b580a41abe13c67105
- Cited by
- 221
- References
- 7
- Citations by year
- 2026: 67 · 2025: 86 · 2024: 61 · 2023: 7
- FWCI
- 8.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nurse Education Today (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- AI chatbots, ChatGPT, nursing education, generative AI in education, problem-based learning, plagiarism, critical thinking, curriculum and pedagogy, administrative functions, nursing informatics, mental health chatbots, healthcare worker burnout, nursing shortage, personalized learning
- MeSH terms
- Burnout, Psychological, Artificial Intelligence, Curriculum, Education, Nursing, Humans, Nursing
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