Impact of Artificial Intelligence Discussion on Midwifery Students
NCT07490665 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 81
Last updated 2026-03-24
Summary
This study aimed to examine the effect of artificial intelligence-assisted case discussions on midwifery students' use and proficiency of artificial intelligence technologies and their clinical competency levels. With the rapid development of artificial intelligence, its integration into healthcare education has become increasingly important. Supporting case-based learning with AI tools may enhance students' clinical decision-making, problem-solving, and critical thinking skills. Therefore, this study evaluates the contribution of AI-assisted educational approaches to the professional development of midwifery students.
Conditions
- Healthy
- Student
Interventions
- BEHAVIORAL
-
Experimental AI Case Group
Students in the experimental group will be presented with a case scenario and given 30 minutes to review it. During this time, they will be asked to develop a care plan for the case. Subsequently, within a 60-minute session, the researcher will present a care plan prepared with artificial intelligence assistance for the same case. A case discussion will then be conducted by comparing the care plans developed by the students with the AI-assisted care plan.
Sponsors & Collaborators
-
Fenerbahce University
lead OTHER
Principal Investigators
-
Sinem Dinmez, Assistant Professor · Mudanya University
-
Zeynep Ogul, Assistant Professor
Study Design
- Allocation
- RANDOMIZED
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-03-16
- Primary Completion
- 2026-06-08
- Completion
- 2026-07-20
Countries
- Turkey (Türkiye)
Study Locations
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