LLM Integration Tests Nursing Student Research Competency
ClinicalTrials.gov Studies
Summary
NIH registered a mixed-method interventional study (NCT07540078) on ClinicalTrials.gov examining whether integrating ChatGPT into undergraduate nursing research courses improves research competency and attitudes among third-year students. Researchers will compare assessment grades and measure outcomes using the Research Competence Scale and Revised Attitudes Towards Research scale. The study focuses on an LLM-Integration intervention for education purposes.
What changed
NIH registered a new observational/interventional research study on ClinicalTrials.gov. The study will evaluate whether an LLM-integrated curriculum improves research competency and attitudes among third-year undergraduate nursing students compared to a control group. Participants will be assessed using the Research Competence Scale and Revised Attitudes Towards Research scale. This is a research registry entry with no compliance obligations. No penalties, deadlines, or regulatory requirements are associated with this study registration.
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Apr 21, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Leveraging Large Language Models (LLM) to Enhance Research Competency Among Undergraduate Nursing Students: A Novel Approach to Research Education
N/A NCT07540078 Kind: NA Apr 20, 2026
Abstract
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.
Conditions: Education, AI (Artificial Intelligence)
Interventions: LLM-Integration
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