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AI-Based Learning Experiences of Nursing Students: A Qualitative Study
Juan Miao1, Hong-Lin Chen1, Xi-Yuan Peng1
1School of Nursing and Rehabilitation, Nantong University, Nantong, Jiangsu, PR China.
Journal of Evaluation in Clinical Practice
|August 6, 2026
Summary
Nursing students are adapting to AI-powered learning, experiencing changes in behavior, emotions, and self-direction. This transformation helps them navigate evolving global healthcare and education landscapes.
Area of Science:
- Nursing Education
- Artificial Intelligence in Healthcare
- Digital Learning
Background:
- Global nursing programs are increasingly integrating large language models (LLMs) and generative AI, such as ChatGPT.
- AI tools are bridging the gap between academic learning and clinical practice in nursing.
Purpose of the Study:
- To explore nursing students' experiences and transformations with AI-based learning.
- To understand the impact of AI on nursing education and student development.
Main Methods:
- A qualitative descriptive investigation was employed.
- The study focused on nursing students' perspectives and learning journeys.
Main Results:
- Four key themes emerged: AI's impact on learning behaviors, emotional-cognitive shifts, self-directed learning outcomes, and adaptive challenges.
- AI facilitates significant changes in how nursing students learn and adapt.
Conclusions:
- Findings provide evidence for leveraging AI in nursing education to adapt to dynamic healthcare environments.
- AI integration supports nursing students in navigating contemporary educational and professional challenges worldwide.
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Section...
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