The Impact of Artificial Intelligence-Powered Research Training Course on Nursing Students' Research Literacy, Attitude, and Readiness to Use Artificial Intelligence
Overview
- Phase
- Not Applicable
- Status
- Not yet recruiting
- Enrollment
- 104
- Primary Endpoint
- Readiness to use artificial intelligence: Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS)
Overview
Brief Summary
The goal of this clinical trial is to find out whether an artificial intelligence (AI)-powered research training course can improve nursing students' research skills, attitudes toward artificial intelligence, and readiness to use AI in research and education.
The main questions this study aims to answer are:
Does AI-powered research training improve nursing students' understanding of research methods?
Does this training improve nursing students' attitudes toward artificial intelligence?
Does the course increase nursing students' readiness and confidence to use artificial intelligence in research-related activities?
Researchers will compare nursing students who take an AI-powered research training course with students who receive usual education without AI-based training.
Participants will:
Be randomly assigned to either the AI-powered research training group or the usual education group
Complete online questionnaires about research skills, attitudes toward artificial intelligence, and readiness to use AI
Attend assessments at three time points: before the course, immediately after the course, and three months later
The AI-powered research training course includes structured sessions on research methods and the responsible use of artificial intelligence tools for literature review, research design, data analysis support, and academic writing. The results of this study may help improve research education and support the safe and effective use of artificial intelligence in nursing education and research.
Study Design
- Study Type
- Interventional
- Allocation
- Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Other
- Masking
- Single (Outcomes Assessor)
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Enrolled in a nursing program (bachelor's, master's, or doctoral level) at one of the participating universities during the study term.
- •Completion of at least one course in research methodology in their program curriculum.
- •Willingness to participate and to provide written informed consent.
Exclusion Criteria
- •Prior completion of advanced courses specifically on research-oriented AI or formal AI certification programs.
- •Inability to attend the scheduled intervention sessions or to access the online learning platform.
- •Not complete the study questionnaires at all required time points
- •Withdrawal of consent or failure to complete baseline assessments.
Arms & Interventions
AI-Powered Research Training Course
Participants in the intervention group will take part in an artificial intelligence (AI)-powered research training course. The course includes eight structured sessions delivered over approximately four weeks and combines core research methods with practical use of AI tools to support research activities.
The training covers key stages of the research process, including selecting a research topic, reviewing scientific literature, developing research questions, choosing study designs, understanding research ethics, managing references, and preparing research reports. Participants will learn how AI tools can support tasks such as literature searching, organizing information, drafting research text, and critically reviewing research outputs, while emphasizing responsible and ethical use of AI.
Sessions include short lectures, hands-on exercises, and practical workshops using commonly available AI-based research tools. Course materials are delivered through an online learning platform,
Intervention: AI-Powered Research Training Course (Other)
Standard education
Participants in the control group will continue with their usual academic education and will not receive any artificial intelligence (AI)-based research training during the study period. They will complete the same outcome assessments as the intervention group at baseline, immediately after the intervention period, and three months later.
After completion of the final follow-up assessment, participants in the control group will be given full access to the AI-powered research training course materials and recorded sessions to ensure ethical fairness and equal access to educational resources.
Outcomes
Primary Outcomes
Readiness to use artificial intelligence: Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS)
Time Frame: baseline (T0, pre-intervention), immediately after course completion (T1), and three months after course completion (T2).
Readiness to use AI will be conceptualized as technical expertise, positive attitudes, and self-confidence in adopting AI tools for research and clinical tasks (29). It will be assessed using the Persian version of the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS), a validated 20-item, 4-domain tool (Cognition, Ability, Vision, Ethics) with 5-point Likert items (total score 20-100). Higher scores will indicate greater readiness. The instrument will have demonstrated acceptable reliability (Cronbach's α ≥ 0.80) and structural validity in prior Iranian studies (24,25). Domain and total scores will be calculated for all participants.
Secondary Outcomes
- Research literacy: a researcher-developed Research Literacy Questionnaire(baseline (T0, pre-intervention), immediately after course completion (T1), and three months after course completion (T2).)
- Attitude toward artificial intelligence: AI Attitude Scale (AIAS-4)(baseline (T0, pre-intervention), immediately after course completion (T1), and three months after course completion (T2).)
Investigators
Sogand Sarmadi
Principal Investigator
Shahid Beheshti University of Medical Sciences