EducationNRACNCT07540078
Leveraging Large Language Models (LLM) to Enhance Research Competency Among Undergraduate Nursing Students: A Novel Approach to Research Education
A study testing LLM-Integration in people with Education and AI (Artificial Intelligence), run by National University Health System, Singapore at 1 site in Singapore.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Education, AI (Artificial Intelligence)
- What is being tested?
- LLM-Integration
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 640 participants
- Where
- 1 siteSingapore
- Study dates
- 13 Aug 2025to Dec 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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"
Who cannot join
- NIL
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Singapore1 site
National University of Singapore, Yong Loo Lin School of Medicine, Singapore, Singapore 117599
Singapore
About this study
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)
- Being tested
- LLM-Integration
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
LLM-IntegrationOther
The curriculum for AY2026/2027 will have the following integrated into their lessons/ learning materials:
- ChatGPT integrated curriculum,
- tutor manual;
- student manual; and
- ChatGPT interactive platform.
| Study group | Role | What they receive |
|---|---|---|
| AY2025/2026 cohort | No intervention | Not described |
| AY2026/2027 cohort | Experimental | Not described Receives: Other: LLM-Integration |
What is being measured
The primary outcome is the main question the study is designed to answer.
Research Competence questionnaire
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
Measured: Once at baseline (week 0), once at Week 10
Revised Attitudes Toward Research scale
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.
Measured: Once at baseline (week 0), once at Week 10
Grades of research proposal
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.
Measured: Week 15
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Apr 2026
- Study start13 Aug 2025
- Primary completionNov 2026 (estimated)
- Study completionDec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for EducationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 640 participants (estimated)
Sponsor and investigators
- Lead sponsor
- National University Health System, Singapore
- Sponsor type
- University, hospital or other
- Collaborators
- Ministry of Education, Singapore
- Responsible party
- Principal investigator, Jocelyn Chew, National University Health System, Singapore
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07540078
- Sponsor's protocol ID
- NUS-IRB-2025-136
- Acronym
- NRAC
- Status last verified
- Apr 2026
- First submitted
- 7 Apr 2026
- Last updated
- 20 Apr 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: 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.
Study at a glance
From the registry record, last updated by the sponsor on 20 Apr 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Leveraging Large Language Models (LLM) to Enhance Research Competency Among Undergraduate Nursing Students: A Novel Approach to Research Education
- ClinicalTrials.gov ID
- NCT07540078
- Acronym / sponsor ID
- NRAC / NUS-IRB-2025-136
- Conditions
- Education, AI (Artificial Intelligence)
- Study type
- Interventional
- Recruitment status
- Enrolling by invitation
- Enrolment
- 640 participants (estimated)
- Lead sponsor
- National University Health System, SingaporeUniversity, hospital or other
- Collaborators
- Ministry of Education, Singapore
- Study start
- 13 Aug 2025 (actual)
- Primary completion
- Nov 2026 (estimated)
- Study completion
- Dec 2026 (estimated)
- First posted
- 20 Apr 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Primary purpose
- Other
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| AY2025/2026 cohort | No intervention | – |
| AY2026/2027 cohort | Experimental | Other: LLM-Integration |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- 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"
Key exclusion criteria (1 listed)
- NIL
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| LLM-IntegrationThe 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. | Other | AY2026/2027 cohort |
Primary outcome
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
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.
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.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Apr 2026.
- Individual participant dataSharing planned: No. 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing LLM-Integration in people with Education and AI (Artificial Intelligence), run by National University Health System, Singapore at 1 site in Singapore.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 20 Apr 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Singapore. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Research Competence questionnaire (time frame: Once at baseline (week 0), once at Week 10). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 Apr 2026.