Impact of AI-Based Research Training on Nursing Students

NCT07408492 | Not Yet Recruiting

• 1 other identifier: IR.TUMS.FNM.REC.1404.257
• Study Type: interventional
• Target: 104
• Locations: 0 countries
• Sites: N/A

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.

Conditions

Research Awareness; Nursing Education; Artificial Intelligence (AI)

Outcome Measures

Primary Outcomes (1)

• Readiness to use artificial intelligence: Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS)

  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.

  baseline (T0, pre-intervention), immediately after course completion (T1), and three months after course completion (T2).

Secondary Outcomes (2)

• 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).

Study Arms (2)

AI-Powered Research Training Course

EXPERIMENTAL

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,

Other: AI-Powered Research Training Course

Standard education

NO INTERVENTION

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.

Interventions

AI-Powered Research Training Course OTHER

The intervention is an artificial intelligence (AI)-powered research training course designed to integrate core research methodology with the practical and responsible use of AI tools. The course consists of eight structured sessions delivered over approximately four weeks and targets nursing students with prior exposure to basic research methods. Unlike traditional research courses, this intervention embeds AI as a supportive research tool across all stages of the research process rather than as a standalone technical subject. Participants learn how AI can assist with selecting research topics, searching and organizing scientific literature, developing research questions, supporting study design decisions, managing references, and drafting research reports, while maintaining critical judgment and methodological rigor. The training emphasizes ethical and responsible use of AI, including issues related to data privacy, transparency, plagiarism prevention, and algorithmic bias.

AI-Powered Research Training Course

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

• 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.

Sponsors & Collaborators

• Shahid Beheshti University of Medical Sciences: lead

Central Study Contacts

Sogand Sarmadi

CONTACT

+989198599908; sogand.sarmadi@ymail.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: February 6, 2026
• First Posted: February 13, 2026
• Study Start: March 1, 2026
• Primary Completion: May 1, 2026
• Study Completion (Estimated): July 1, 2026
• Last Updated: February 13, 2026

Record last verified: 2026-02