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AI-Supported Case Analysis Among Nursing Students
Sponsor: TC Erciyes University
Summary
The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load levels. This study will be conducted using a single-blind randomized controlled trial design for the quantitative research and an individual interview design for the qualitative research. Students will be randomly assigned to either the intervention (artificial intelligence) or control (case analysis) group.
Official title: The Effect of AI-Supported Case Analysis on Nursing Students' Learning Experience, Learning Outcomes, Clinical Self-Efficacy, and Cognitive Load
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
42
Start Date
2026-05-25
Completion Date
2026-06-30
Last Updated
2026-07-23
Healthy Volunteers
Yes
Interventions
Case Analysis
The case analysis will be made through the presentation prepared by the students in the group.
AI-supported case
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence
Locations (1)
Erciyes University
Kayseri, Türkiye, Turkey (Türkiye)