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NCT06645483
ChatGPT Contribute to the Development of Psychological Preparedness and Disaster Risk Perception
NA trial testing ChatGPT-assisted instruction in University Student in 66 participants. Completed in 16 December 2024.
25 November 2024
Quick facts
| Lead sponsor | Lütfiye Parlak |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | other |
| Enrollment | 66 |
| Start date | 18 November 2024 |
| Primary completion | 25 November 2024 |
| Estimated completion | 16 December 2024 |
| Sites | 1 location across Turkey (Türkiye) |
Drugs / interventions tested
- ChatGPT-assisted instruction
- Traditional lecture-based instruction
Conditions studied
- University Student — all drugs for University Student →
Sponsor
Lütfiye Parlak
Who can join
Adults 18 to 25, any sex, with University Student. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The study aims to contribute to the design of new approaches in enhancing disaster risk perception and the improvement of intervention strategies in this field by identifying the different levels of psychological preparedness among individuals. Type, Location, and Time of the Study This study is a randomized controlled trial that will be conducted prospectively in a cross-sectional design. It will take place at Kütahya Health Sciences University, Simav Vocational School of Health Services, during the Fall semester of the 2024-2025 academic year, involving students enrolled in the "Emergency and Disaster Management" courses. Population and Sample The population of this study will consist of second-year students enrolled in the Fall semester of the 2024-2025 academic year at Kütahya University of Health Sciences, Simav Vocational School of Health Services (https://oidb.ksbu.edu.tr/index/sayfa/10106/ocak-2024). The "Emergency and Disaster Management" course is offered as an elective for all second-year students across the departments of Simav Vocational School of Health Services. The course is taught in two separate sections (Sections A and B) by Lecturer Dr. Nahsan KAYA. The sample size of the study, based on the power analysis conducted using the G\*Power software, will consist of 72 students, with 36 students in each group, assuming 80% power, a 0.05 margin of error, and a 1:1 randomization ratio. Branch A and Branch B will be randomly assigned as the experimental and control groups via a draw conducted through the randomizer.org website. At the beginning of the study, a pre-test will be administered to both groups. The lessons for the experimental group will be conducted using ChatGPT during the first two weeks, while the control group will receive instruction through the traditional teaching method (presentation-based instruction). At the end of the two weeks, a post-test will be administered to both groups. To ensure that the students receive the same course under the same conditions and opportunities, the teaching methods will be crossed between the groups during the following two weeks, with the experimental group receiving traditional education and the control group being taught with ChatGPT. At the end of the total four-week implementation, a follow-up test will be administered to both groups.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
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Related trials
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Currently open trials in the same condition.
- NCT06584253 — Digital Addiction Among University Students · recruiting
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06645483 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Lütfiye Parlak
- Last refreshed: 14 January 2025
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06645483.
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