Chatbot About Electronic Fetal Monitoring
NCT07051343 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 84
Last updated 2025-07-04
Summary
* The study aims to investigate the effect of using artificial intelligence Chatbot education about electronic fetal monitoring on maternity nursing students' performance.
* The aim will be achieved through the following,
1. Designing AI Chatbot about electronic fetal monitoring.
2. Exploring the effect of using AI Chatbot about electronic fetal monitoring on students' performance, interest in education, self-directed learning \& feedback satisfaction.
* The students will be divided into two groups, the intervention group will use EFM Chatbot, and the control group will receive the traditional learning
Conditions
- Artificial Intelligence (AI)
- Electronic Fetal Monitoring
- Nursing Students
Interventions
- OTHER
-
designed artificial intelligence Chatbot education about electronic fetal monitoring
effect of using designed artificial intelligence Chatbot about electronic fetal monitoring on maternity nursing students' performance
- OTHER
-
traditional teaching method
the traditional learning method (online meeting).
Sponsors & Collaborators
-
Mansoura University
lead OTHER
Principal Investigators
-
Amal Mohamed Talaat Abdelwahab, assistant lecturer · assistant lecturer at woman's health and midwifery nursing department, faculty of nursing, mansoura university
-
hanan alemam, professor · head of woman's health and midwifery nursing department, faculty of nursing, mansoura university
Study Design
- Allocation
- NON_RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-06-01
- Primary Completion
- 2025-11-01
- Completion
- 2025-12-01
Countries
- Egypt
Study Locations
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