PRACTICAL EXPLORATION OF INTEGRATING THE CDIO TEACHING MODEL WITH CHATGPT ASSISTANCE IN CLINICAL TEACHING FOR NURSING INTERNS IN THE RESPIRATORY DEPARTMENT
Keywords:
CDIO teaching model, ChatGPT, Respiratory nursing, Clinical teaching, Nursing education, Artificial intelligenceAbstract
Background: Although the CDIO (Conceive-Design-Implement-Operate) teaching model can enhance nursing students' core competencies and ChatGPT offers personalized, real-time learning support, their combined application in respiratory nursing clinical teaching remains unexplored. In practice, intern nursing students in respiratory and critical care departments commonly face disconnections between theory and practice, weak knowledge integration and transfer skills, and insufficient critical thinking and clinical decision-making abilities. These challenges are compounded by rigid teaching models, difficulty in providing personalized instruction, limited teaching resources and scenarios, and a lack of opportunities for innovation and hands-on practice. Objective: To design and implement an integrated teaching approach combining the CDIO model with ChatGPT assistance for respiratory nursing interns and evaluate its preliminary effectiveness. Methods: A quasi-experimental study design was employed involving 60 respiratory nursing interns who rotated through a tertiary hospital from May 2025 to March 2026. Participants were assigned to an experimental group (n=30) receiving CDIO model instruction with ChatGPT assistance and a control group (n=30) receiving traditional clinical teaching. Outcome measures included theoretical knowledge assessment, clinical practice scores, autonomous learning ability, and clinical thinking ability. Results: The experimental group demonstrated significantly higher scores in theoretical knowledge assessment (p<0.05), clinical practice skills (p<0.05), clinical thinking ability (p<0.05), and autonomous learning ability (p<0.05) compared with the control group. Conclusion: The integration of the CDIO teaching model with ChatGPT assistance effectively enhances the comprehensive competencies of respiratory nursing interns, improves clinical thinking, and autonomous learning abilities. This innovative approach offers a promising direction for clinical nursing education reform.References
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