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

April 16, 2026 updated by: Jocelyn Chew, National University Health System, Singapore

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.

Study Overview

Status

Enrolling by invitation

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

640

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • Singapore
      • Singapore, Singapore
        • National University of Singapore, Yong Loo Lin School of Medicine, Singapore, Singapore 117599

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • All year-three students in cohort years AY2025/26 and AY2026/27 who are enrolled in mandatory research course titled "NUR3202C: Research and Evidence-Based Healthcare"

Exclusion Criteria:

  • NIL

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Non-Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: AY2025/2026 cohort
Experimental: AY2026/2027 cohort
Other: LLM-Integration

The curriculum for AY2026/2027 will have the following integrated into their lessons/ learning materials:

  1. ChatGPT integrated curriculum,
  2. tutor manual;
  3. student manual; and
  4. ChatGPT interactive platform.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Research Competence questionnaire
Time Frame: Once at baseline (week 0), once at Week 10
A 32-item, 5-point Likert scale assessing participants perceived research competency. The minimum and maximum score one can attain on this measure is 32 and 160 respectively, with a higher score indicating higher perceived competence in research
Once at baseline (week 0), once at Week 10
Revised Attitudes Toward Research scale
Time Frame: Once at baseline (week 0), once at Week 10
A 13-item, 7-point Likert scale assessing participants' own attitudes towards research. The minimum and maximum score one can attain on this measure is 13 and 91 respectively, with a higher score indicating a more positive attitude towards research.
Once at baseline (week 0), once at Week 10
Grades of research proposal
Time Frame: Week 15

Grades from the research proposal will also be used as an objective measure of the student's research competency for triangulation of data.

This research proposal is an existing assessment in NUR3202C it will be assessed using a structured rubric that grades students based on the content, organization, delivery and collaboration.
Week 15

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

National University Health System, Singapore

Collaborators

Ministry of Education, Singapore

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 13, 2025

Primary Completion (Estimated)

November 1, 2026

Study Completion (Estimated)

December 1, 2026

Study Registration Dates

First Submitted

April 7, 2026

First Submitted That Met QC Criteria

April 16, 2026

First Posted (Actual)

April 20, 2026

Study Record Updates

Last Update Posted (Actual)

April 20, 2026

Last Update Submitted That Met QC Criteria

April 16, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • NUS-IRB-2025-136

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Due to the sensitive and confidential nature of the data collected, de-identified individual participant data will not be shared outside the primary research team.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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