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Nursing students' experiences of interviewing artificial intelligence-simulated patients: A phenomenological study
Sinan Aydogan1, Fatma Dursun Ergezen2, Ayse Yacan Kok3
1Department of Nursing, Faculty of Health Sciences, Burdur Mehmet Akif Ersoy University, Burdur, Türkiye.
Nurse Education Today
|July 15, 2026
Summary
Nursing students using AI-simulated patients reported enhanced clinical preparedness and communication skills. These AI tools positively impacted their learning motivation and professional identity development.
Area of Science:
- Nursing Education
- Artificial Intelligence in Healthcare
- Clinical Simulation
Background:
- Clinical skill development is crucial in nursing education.
- Limited access to real practice areas hinders student experience.
- AI-simulated patients offer a safe environment for interview practice and skill enhancement.
Purpose of the Study:
- To explore nursing students' experiences interviewing AI-simulated patients.
- To understand the impact of AI simulations on communication skills and professional identity.
Main Methods:
- Descriptive phenomenological study.
- One-to-one interviews with 15 first-year nursing students.
- Data analyzed using Giorgi's Phenomenological Method Analysis.
Main Results:
- Students experienced a sense of clinical reality and developed reflective communication skills.
- AI simulations increased confidence for clinical practice and enhanced professional identity.
- AI-based education boosted learning motivation and preparedness for real clinical settings.
Conclusions:
- AI-simulated patients enhance clinical preparedness, professional identity, and communication skills in nursing students.
- AI simulations can effectively supplement traditional nursing education methods.
- The use of AI in nursing education increases student learning motivation.
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