Clinical Trial

Leveraging Large Language Models (LLM) to Enhance Research Competency Among Undergraduate Nursing Students: A Novel Approach to Research Education

Study acronym: NRAC
Enrolling by Invitation
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Summary
The goal of this mixed method interventional study is to develop and test the effectiveness of integrating ChatGPT into the nursing research course to improve research competency among third-year undergraduate nursing students. The main questions it aims to answer is: Will participants who undergo the LLM-integrated curriculum show an increase in research competency and attitudes compared to participants who did not undergo this curriculum. Researchers will compare a students assessment grades, as well as their research competency and attitude, measured via the Research Competence Scale (R-Comp) and Revised Attitudes Towards Research scale (R-ATR) respectively. Research will determine whether the LLM-integrated curriculum could improve students understanding and attitudes towards research.
Trial Details
NCT Number NCT07540078
Lead Sponsor National University Health System, Singapore
Collaborators: Ministry of Education, Singapore
Conditions Education, AI (Artificial Intelligence)
Enrollment 640 participants
Start Date 2025-08-13
Primary Completion 2026-11 (estimated)
Study Completion 2026-12 (estimated)
Updated on ClinicalTrials.gov 2026-04-20