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Набор скоро начнётся NCT07611383

Effect of AI-Supported Case Analysis on Nursing Students

Без фазы С лечением Nursing Students Artificial Intelligence (AI) Clinical Decision-Making in Nursing

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: AI-supported case, Control Group.
Кому может быть актуально
Состояния в реестре: Nursing Students, Artificial Intelligence (AI), Clinical Decision-Making in Nursing. Базовые параметры: Без ограничений · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Список центров уточняется — проверьте первичный протокол.
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

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Официальное название

The Effect of AI-Supported Case Analysis on Nursing Students' Knowledge, Learning Satisfaction Levels, and Clinical Decision-Making Skills

Обзор

The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction).

Подробное описание

The use of artificial intelligence in education offers numerous benefits to both students and educators. The aim of this study is to determine the effect of AI-supported oncology case analysis on nursing students' knowledge, level of learning satisfaction, and clinical decision-making skills. This study is planned to be conducted using a single-blind randomized controlled trial design for the quantitative research component and an interview design for the qualitative research component. The study population will consist of 42 second-year nursing students enrolled in the Oncology Nursing elective course at the Faculty of Health Sciences during the 2025-2026 academic year. The students will be divided into two groups: an intervention group (artificial intelligence) and a control group (traditional instruction). In the study, data will be collected using the Student Information Form, Knowledge Test, Learning Satisfaction Scale, Clinical Decision-Making Scale in Nursing, and Semi-Structured Interview Form.

Вмешательства

  • Другое AI-supported case
    In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
  • Другое Control Group
    For students in the control group (traditional instruction group), the case analysis course will be taught by the instructor in charge using a PowerPoint presentation prepared by the researchers.

Первичные конечные точки

  • Knowledge level [Срок оценки: 2 hours]
  • Learning satisfaction [Срок оценки: 2 hours]
  • Clinical decision-making skills [Срок оценки: 2 hours]

Критерии участия

Критерии включения

  • Students who will be active second-year nursing students during the spring semester of the 2025-2026 academic year,
  • Who have previously taken the theoretical course on the nursing process,
  • Who own a smartphone with an internet connection,
  • Who have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample.

Критерии исключения

  • Students who have not taken the elective course in oncology nursing,
  • Students who have not planned care for inpatients in internal medicine clinics during their previous clinical rotations,
  • Students who do not agree to participate in the study will not be included in the research

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: NCT07611383 · NEVÜsağlıkbilimlerifakültesi

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗