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Toward an AI-integrated nursing curriculum: A Kano model analysis of generative AI competency needs
Yeru Xia1, Jingbang Liu1, Kaili Wang1
1Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310000, Zhejiang Province, China.
Nurse Education Today
|May 7, 2026
Summary
Clinical nurses show high GenAI use and positive attitudes but lack formal training. Their learning needs focus on practical applications, with a call for integrated ethics and advanced skills in nursing education curricula.
Area of Science:
- Nursing Informatics
- Artificial Intelligence in Healthcare
- Educational Technology
Background:
- Generative Artificial Intelligence (GenAI) integration in nursing practice and education is advancing, but clinical nurses' competencies lag behind.
- Limited research exists on nurses' perspectives regarding GenAI learning needs, hindering targeted educational development.
Purpose of the Study:
- To assess clinical nurses' current Generative Artificial Intelligence (GenAI) usage and learning attitudes.
- To categorize and prioritize GenAI learning needs among clinical nurses using the Kano model.
Main Methods:
- A cross-sectional survey of 1219 clinical nurses in a Chinese tertiary hospital.
- Classification of 18 GenAI learning needs using the Kano model, calculating Better-Worse coefficients and Average Satisfaction Coefficients (ASC).
Main Results:
- High GenAI utilization (87.69%) and positive attitudes (97.10%) were reported, with minimal formal training (7.39%).
- Learning needs were categorized: six as one-dimensional (practical applications like teaching material development), one as attractive (personalized nursing education), and eleven as indifferent (foundational knowledge, ethics, advanced applications).
- Usage standards, nursing rounds, and multidisciplinary case discussions had higher ASC within the indifferent category.
Conclusions:
- Nurses' immediate GenAI learning needs are practical and application-oriented.
- Nursing curricula should adopt a phased approach, prioritizing practical skills and progressively integrating foundational, ethical, and advanced competencies.
- Integrating ethics as a core component and ensuring educator preparedness are crucial for effective GenAI adoption in nursing education.
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