Actively Recruiting
Mixed Reality Training for Teaching Cervical Effacement and Dilation
Led by Mardin Artuklu University · Updated on 2025-11-20
90
Participants Needed
1
Research Sites
17 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The aim of this educational research is to determine whether a mixed reality-based training program is effective in teaching midwifery students how to assess cervical effacement and dilation. The study also examines the impact of mixed reality on students' cognitive load, sense of presence, and midwifery professional perception. The main questions the study seeks to answer are: Does mixed reality training reduce students' cognitive load? Does mixed reality increase the students' sense of presence? How does mixed reality-based training influence students' professional perception of midwifery? Do students who receive mixed reality training perform better in assessing cervical effacement and dilation on real pregnant women compared with the control group?
CONDITIONS
Official Title
Mixed Reality Training for Teaching Cervical Effacement and Dilation
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Enrolled in the Midwifery Department at Mardin Artuklu University
- Taking the course "Normal Birth and Postpartum Care"
- No prior structured training related to vaginal examination or cervical dilation/effacement
- Not confident in assessing cervical effacement and dilation
- Volunteered to participate in the study
- Pregnant women in the first stage of labor without obstetric complications
You will not qualify if you...
- Graduates of health vocational high schools
- Disabilities in eyes, hands, arms, or fingers
- Individuals who do not complete the training
AI-Screening
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Trial Site Locations
Total: 1 location
1
Mardin Training and Research Hospital
Mardin, Turkey (Türkiye), 47200
Actively Recruiting
Research Team
Ü
Ülkin Gündüz Aruser, Ph.D
CONTACT
H
Hacer Ünver Koca, Assoc. Prof.
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
SUPPORTIVE_CARE
Number of Arms
2
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