* 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
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See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Maternity nursing students who received EFM Chatbot education will have better theoretical knowledge regarding EFM within 3 months.
Timeframe: 3 months
Maternity nursing students who received EFM Chatbot education will have satisfactory practical interpretation skills regarding EFM within 3 months.
Timeframe: 3 months.
Maternity nursing students who received EFM Chatbot education will have better clinical reasoning confidence regarding EFM within 3 months.
Timeframe: 3 months.