Impact of AI-Based Research Training on Nursing Students
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-Powered Research Training Course.
- Who it may be relevant to
- Registry conditions: Research Awareness, Nursing Education, Artificial Intelligence (AI). Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
The Impact of Artificial Intelligence-Powered Research Training Course on Nursing Students' Research Literacy, Attitude, and Readiness to Use Artificial Intelligence
Overview
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.
Interventions
- Other AI-Powered Research Training Course
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
Primary outcome measures
- 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).]
Secondary outcome measures (2)
- Research literacy: a researcher-developed Research Literacy Questionnaire [Time frame: 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) [Time frame: baseline (T0, pre-intervention), immediately after course completion (T1), and three months after course completion (T2).]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Single blind
- Primary purpose
- Other
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT07408492 · IR.TUMS.FNM.REC.1404.257