Research AwarenessNCT07408492
Impact of AI-Based Research Training on Nursing Students
A study testing AI-Powered Research Training Course in people with Research Awareness and Nursing Education, run by Shahid Beheshti University of Medical Sciences.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Research Awareness, Nursing Education, Artificial Intelligence (AI)
- What is being tested?
- AI-Powered Research Training Course
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 104 participants
- Where
- No sites listed yet
- Study dates
- 1 Mar 2026to 1 Jul 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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.
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: The Impact of Artificial Intelligence-Powered Research Training Course on Nursing Students' Research Literacy, Attitude, and Readiness to Use Artificial Intelligence
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:
Read more
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.
- Being tested
- AI-Powered Research Training Course
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-Powered Research Training CourseOther
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.
| Study group | Role | What they receive |
|---|---|---|
| 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, Receives: 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. |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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
Research literacy will be defined as the knowledge and skills in research methodology, study design, data collection, and analysis that will enable researchers to conduct valid studies (5). It will be measured using a researcher-developed 20-item true/false/don't-know questionnaire adapted from Brody et al. (27). Responses will be scored as correct if they match the statement's truth, with a total score of 0-20; higher scores will indicate greater research literacy. The questionnaire will be developed based on the literature, will undergo face and content validation by experts (CVI/CVR), and will be pilot-tested with 50-100 participants to assess item properties, internal consistency (Cronbach's alpha), and 10-14-day test-retest reliability. All participants will complete the questionnaire at each time point, and all data will be included in the intention-to-treat analysis.
Measured: 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)
Attitudes toward artificial intelligence (AI) will be characterized by an individual's beliefs and affective dispositions regarding the applications and implications of AI (26). The evaluation of this attitude will employ the AI Attitude Scale (AIAS-4), a unidimensional instrument consisting of four items, each rated on a scale from 1 to 10, thereby resulting in a total score that ranges from 4 to 40; higher scores indicate more favorable attitudes toward AI. In the absence of a Persian version of the psychometric AIAS-4, the scale will be translated and culturally adapted through a standard forward-backward translation process, supplemented by cognitive interviews with 10 nursing students, and reviewed by an expert panel. Content validity will be assessed through the Content Validity Index (CVI) and the Content Validity Ratio (CVR). The translated instrument will be pilot-tested with 20 participants, and internal consistency will be evaluated using Cronbach's alpha.
Measured: baseline (T0, pre-intervention), immediately after course completion (T1), and three months after course completion (T2).
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Feb 2026
- Study start1 Mar 2026 (estimated)
- Primary completion1 May 2026 (estimated)
- Study completion1 Jul 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Research AwarenessStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 104 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Shahid Beheshti University of Medical Sciences
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Sogand Sarmadi, Shahid Beheshti University of Medical Sciences
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07408492
- Sponsor's protocol ID
- IR.TUMS.FNM.REC.1404.257
- Status last verified
- Feb 2026
- First submitted
- 6 Feb 2026
- Last updated
- 13 Feb 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 13 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Impact of Artificial Intelligence-Powered Research Training Course on Nursing Students' Research Literacy, Attitude, and Readiness to Use Artificial Intelligence
- ClinicalTrials.gov ID
- NCT07408492
- Acronym / sponsor ID
- IR.TUMS.FNM.REC.1404.257
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 104 participants (estimated)
- Lead sponsor
- Shahid Beheshti University of Medical SciencesUniversity, hospital or other
- Study start
- 1 Mar 2026 (estimated)
- Primary completion
- 1 May 2026 (estimated)
- Study completion
- 1 Jul 2026 (estimated)
- First posted
- 13 Feb 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| AI-Powered Research Training Course | Experimental | Other: AI-Powered Research Training CourseParticipants 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, |
| 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (4 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-Powered Research Training CourseThe 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. | Other | AI-Powered Research Training Course |
Primary outcome
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.
2 secondary outcomes
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).
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 13 Feb 2026.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Questions about this trial
What is this clinical trial studying?
A study testing AI-Powered Research Training Course in people with Research Awareness and Nursing Education, run by Shahid Beheshti University of Medical Sciences.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 13 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Sogand Sarmadi (+989198599908, sogand.sarmadi@ymail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
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).). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 13 Feb 2026.