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Enrolling by Invitation

NCT Number: NCT07540078

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

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.

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Key information

Conditions

Education AI (Artificial Intelligence)

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

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

Singapore

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

LLM-Integration

Other

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.

Primary outcomes

  1. 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

  2. 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.

  3. 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.

Sponsors and collaborators

Lead sponsor

National University Health System, Singapore

Other

Collaborators

  • Ministry of Education, Singapore

Registry information

Acronym: NRAC

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Apr 20, 2026
Registry last updated
Apr 20, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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