Impact of AI-Based Research Training on Nursing Students

Официальное название

The Impact of Artificial Intelligence-Powered Research Training Course on Nursing Students' Research Literacy, Attitude, and Readiness to Use Artificial Intelligence

Обзор

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.

Вмешательства

• Другое 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

Первичные конечные точки

• Readiness to use artificial intelligence: Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) [Срок оценки: baseline (T0, pre-intervention), immediately after course completion (T1), and three months after course completion (T2).]

Вторичные конечные точки (2)

• Research literacy: a researcher-developed Research Literacy Questionnaire [Срок оценки: 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) [Срок оценки: baseline (T0, pre-intervention), immediately after course completion (T1), and three months after course completion (T2).]

Критерии участия

Критерии включения

• 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.

Критерии исключения

• 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.

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Распределение

Рандомизированное

Модель

Параллельные группы

Маскирование

Простое слепое

Основная цель

Другое

Центры проведения

Список центров уточняется — проверьте первичный протокол.

Идентификаторы

NCT: NCT07408492 · IR.TUMS.FNM.REC.1404.257

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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