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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.
Background:
Global nursing courses are rapidly attempting to utilise large language models (LLMs), and generative AI such as ChatGPT now traverses the traditional classroom-clinical divide.
Methods:
This study conducted a qualitative descriptive investigation to explore nursing students' specific experiences and transformations in AI-based learning.
Results:
Four interrelated themes were identified: AI-Driven Transformation of Nursing Students' Learning Behaviour Patterns; Emotional-Cognitive Shifts in Nursing Students Through AI-Based Learning; Self-Directed Learning Outcomes in Nursing Students Using AI-Based Learning and Adaptive Challenges.
Conclusions:
The findings offer evidence-based insights into how nursing students can leverage AI to navigate rapidly changing nursing education and healthcare environments worldwide.
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