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NCT07408492
Impact of AI-Based Research Training on Nursing Students
NA trial testing AI-Powered Research Training Course in Research Awareness in 104 participants. Not yet recruiting.
1 May 2026
Quick facts
| Lead sponsor | Shahid Beheshti University of Medical Sciences |
|---|---|
| Phase | NA |
| Status | Not yet recruiting |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | single |
| Primary purpose | other |
| Enrollment | 104 |
| Start date | 1 March 2026 |
| Primary completion | 1 May 2026 |
| Estimated completion | 1 July 2026 |
Drugs / interventions tested
- AI-Powered Research Training Course
Conditions studied
- Research Awareness — all drugs for Research Awareness →
- Nursing Education — all drugs for Nursing Education →
- Artificial Intelligence (AI) — all drugs for Artificial Intelligence (AI) →
Sponsor
Shahid Beheshti University of Medical Sciences
Who can join
18 and older, any sex, with Research Awareness or Nursing Education. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this clinical trial is to find out whether an artificial intelligence (AI)-powered research training course can improve nursing students' research skills, attitudes toward artificial intelligence, and readiness to use AI in research and education. The main questions this study aims to answer are: Does AI-powered research training improve nursing students' understanding of research methods? Does this training improve nursing students' attitudes toward artificial intelligence? Does the course increase nursing students' readiness and confidence to use artificial intelligence in research-related activities? Researchers will compare nursing students who take an AI-powered research training course with students who receive usual education without AI-based training. Participants will: Be randomly assigned to either the AI-powered research training group or the usual education group Complete online questionnaires about research skills, attitudes toward artificial intelligence, and readiness to use AI Attend assessments at three time points: before the course, immediately after the course, and three months later The AI-powered research training course includes structured sessions on research methods and the responsible use of artificial intelligence tools for literature review, research design, data analysis support, and academic writing. The results of this study may help improve research education and support the safe and effective use of artificial intelligence in nursing education and research.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT07408492
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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 NCT07408492 (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 Shahid Beheshti University of Medical Sciences
- Last refreshed: 13 February 2026
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/NCT07408492.
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