Impact of Generative AI on University Students' Learning Processes and Critical Thinking (NCT07762261) | Clinical Trial Compass
Not Yet RecruitingNot Applicable
Impact of Generative AI on University Students' Learning Processes and Critical Thinking
100 participantsStarted 2026-09-01
Plain-language summary
This study is a randomized, controlled trial with a pre-test/post-test design, conducted to determine the effects of Generative AI (GenAI)-supported learning on academic achievement, learning efficiency, and critical thinking within a university setting. The study population consists of students from the Dialysis Program at Bingöl University's Vocational School of Health Services; the sample comprises 100 volunteer students who met the inclusion criteria and were randomly assigned to either an experimental group (n=50) or a control group (n=50). The experimental group will participate in a "Generative AI-Supported Learning Program" over the course of one month-meeting two days a week for a total of eight 60-minute sessions-covering topics ranging from effective prompting techniques to case analysis and academic ethics; meanwhile, the control group will continue with their routine educational activities. Data will be collected using a Demographic Information Form, the Academic Achievement Inventory, the Critical Thinking Disposition Scale, and the Artificial Intelligence Dependency Scale, and will be analyzed using biostatistical methods (t-tests, ANCOVA, and effect size calculations).
Who can participate
Age range
18 Months – 25 Months
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Being an active undergraduate student enrolled in the university program/course during the study period
* Willingness to voluntarily participate in the study and providing written informed consent
* Having regular access to a digital device (e.g., smartphone, laptop, tablet) and an internet connection
* Basic digital literacy to use educational software and AI tools
* Agreeing to complete all course activities, pre-tests, and post-test
Exclusion Criteria:
* Prior formal or advanced training in generative AI tools (e.g., prompt engineering certification)
* Transfer students or students repeating the course who have prior experience with the course material
* Having cognitive, visual, or physical impairments that prevent participation in online learning or completing evaluation surveys
* Unwillingness to participate in the study or withdrawing consent at any stage
* Missing more than 20% of the course sessions or failing to complete the outcome assessment tools (pre-test/post-test)
Questions worth asking your doctor
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.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
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.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Academic Achievement
Timeframe: Baseline (Week 0) and immediately after the intervention (Week 4)