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Applying an AI-human intelligence collaborative cognitive apprenticeship model in nursing psychology education: An
Jiasi Li1, Yingying Wang1, Xinyu Zhu1
1School of Nursing, Guangzhou Medical University, Guangzhou, China.
Nurse Education in Practice
|January 31, 2026
Summary
A new artificial and human intelligence (AI-HI) model improved nursing students' knowledge and clinical skills. This AI-HI approach offers a promising digital solution for integrating theory and practice in nursing education.
Area of Science:
- Nursing Education
- Educational Technology
- Artificial Intelligence in Healthcare
Background:
- The gap between nursing theory and clinical practice is a persistent challenge.
- Existing digital platforms often provide fragmented knowledge and lack personalized support.
- This limits the development of integrated understanding and essential clinical skills in nursing students.
Purpose of the Study:
- To evaluate the effectiveness of a structured cognitive apprenticeship model integrating artificial and human intelligence (AI-HI).
- To enhance nursing students' psychological nursing education, focusing on knowledge mastery and practical skills.
- To explore the underlying mechanisms of the AI-HI model's impact.
Main Methods:
- An explanatory sequential mixed-methods design was employed.
- Participants (n=66) were randomized into an AI-HI collaborative platform group or a standard online course (SPOC) group.
- Learning outcomes were assessed via theoretical tests and Objective Structured Clinical Examinations (OSCE), followed by qualitative focus group interviews.
Main Results:
- The AI-HI group demonstrated significantly higher scores in both theoretical knowledge (p=0.012) and OSCE (p<0.001) compared to the control group.
- Qualitative findings highlighted the cognitive scaffolding role of teacher-AI collaboration in active learning.
- Technical challenges were identified as a factor influencing student engagement.
Conclusions:
- The AI-HI collaborative structured cognitive apprenticeship model shows significant promise for nursing education.
- This approach effectively improves knowledge integration and clinical reasoning abilities.
- It offers valuable insights for leveraging digital tools to bridge the theory-practice gap in nursing.
Keywords:
AI-Human Intelligence CollaborationCognitive ApprenticeshipExplanatory Sequential Mixed MethodsKnowledge GraphNursing EducationRandomised Controlled TrialMore Related Videos
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