About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Being a 3rd/4th year student in the Midwifery department
Having previously taken courses on Healthy and High-Risk Pregnancy
Having prepared and presented at least one midwifery care plan
Disqualifiers
Using more than 20% absenteeism in field applications
Trial design
Parallel
Treatments tested in this trial
Experimental AI Case Group
BehavioralStudents 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.
Treatment groups
Trial outcomes
Primary outcomes
Level of artificial intelligence usage
Changes in the level of AI usage among midwifery students after training, compared to baseline values. The Student Attitudes toward Artificial Intelligence Scale (SATAI), developed in 2025, will be used for measurement.The scale, developed using a five-point Likert scale (1=Strongly disagree and 5=Strongly agree), does not contain any reverse-coded items. The highest possible score on the scale is 130, and the lowest is 26, with higher scores reflecting more positive attitudes towards artificial intelligence.
Usage and proficiency level
This will be measured using the Generative Artificial Intelligence Use and Proficiency (GAAP) Scale, developed in 2024. Planned as a five-point Likert scale (fully reflecting = 5 points - not reflecting = 1 point), an increase in the score obtained from this scale indicates a high level of artificial intelligence use and proficiency. The minimum possible score on the scale is 19, and the maximum is 95.
Sponsors and contacts
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