AIMC Topic: Students, Nursing
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Understanding and acceptance of open, laparoscopic, and robotic surgery among nursing students: implications for educational curricula based on a mixed-methods study.
Journal of robotic surgery
Jun 18, 2025
This study aimed to assess university nursing students' knowledge and perceptions of open, laparoscopic, and robotic surgery applications. A simultaneous sequential nested quantitative-qualitative hybrid research method design was conducted. The sub-...
The Effect of a Generative AI-Based Teaching Strategy on Building Students' Competency.
The Journal of nursing education
Jun 1, 2025
BACKGROUND: Assessment of the initial medical history data for pregnant women is an essential component of nursing training. Therefore, understanding clinical patient characteristics is crucial for developing students' ability to independently manage...
Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.
Computers, informatics, nursing : CIN
Jun 1, 2025
As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge about the effects of artificial intelligence, its outcomes, and how it will be used, as well as potent...
Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training.
Sensors (Basel, Switzerland)
May 20, 2025
This study explores nursing students' stress responses while they are being trained in a mixed reality (MR) setting that replicates highly stressful clinical scenarios. Using measurements of physiological indices such as heart rate, electrodermal act...
Deep learning approach in undergraduate nursing students and their relationship with learning outcomes: A latent profile analysis.
Nurse education in practice
Apr 23, 2025
BACKGROUND: Deep learning approach plays a pivotal role in nursing education, equipping students with the critical thinking skills and knowledge necessary to address complex clinical challenges. However, nursing students exhibit diverse approaches to...
Randomized Controlled Study on the Impact of Problem-Based Learning Combined With Large Language Models on Critical Thinking Skills in Nursing Students.
Nurse educator
Apr 22, 2025
BACKGROUND: The integration of Large Language Models (LLMs) into nursing education presents a novel approach to enhancing critical thinking skills. This study evaluated the effectiveness of LLM-assisted Problem-Based Learning (PBL) compared to tradit...
Fostering creativity-nurturing behaviors among nurse educators: Investigating the interplay between evidence-based practice climate and artificial intelligence competence self-efficacy.
Nurse education today
Apr 4, 2025
BACKGROUND: Fostering creativity in nursing education is essential for equipping students with critical thinking and problem-solving skills. Nurse educators play a pivotal role in nurturing creativity among nursing students, yet their effectiveness i...
Integration of Artificial Intelligence in Nursing Simulation Education: A Scoping Review.
Nurse educator
Apr 1, 2025
BACKGROUND: Artificial intelligence (AI) integration in nursing simulation education is growing, yet understanding its implementation across simulation phases remains limited.
Investigation of the relationship between medical artificial intelligence readiness and individual innovativeness levels in nursing students.
Nurse education today
Mar 29, 2025
AIM: This study was conducted to identify nursing students' medical artificial intelligence readiness and individual innovativeness levels, to examine the relationship between these two concepts and to determine the variables that create a significan...
The role of artificial intelligence in shaping nursing education: A comprehensive systematic review.
Nurse education in practice
Mar 28, 2025
AIM: This systematic review assesses AI's application, effectiveness and impact on nursing education, while identifying research limitations.
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