Leveraging Large Language Models (LLM) to Enhance Research Competency Among Undergraduate Nursing Students: A Novel Approach to Research Education
Trial Snapshot
- Phase
- Not Applicable
- Status
- Enrolling By Invitation
- Sponsor
- Enrollment
- 640
- Locations
- 1
- Primary Endpoint
- Research Competence questionnaire
Study Overview
Brief 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.
Study Design
- Study Type
- Interventional
- Allocation
- Non Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Other
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
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
- Not provided
Arms & Interventions
AY2025/2026 cohort
AY2026/2027 cohort
Intervention: LLM-Integration (Other)
Outcomes
Primary Outcomes
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.
Secondary Outcomes
No secondary outcomes reported
Investigators
Jocelyn Chew
Assistant Professor
National University Health System, Singapore