BACKGROUND: Nursing students' acceptance and usage of AI are crucial for embracing and implementing the technology in nursing practice in the future. However, there is a lack of literature to examine the factors affecting AI usage intention among nur...
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...
AIM: This review aims to explore the impact of artificial intelligence (AI) on knowledge acquisition, skills development, and attitudes among nursing students.
BACKGROUND: Competency-based nursing education necessitates effective instructional methods and assessment tools for evaluating students' knowledge, skills, and attitudes. Clinical simulation has emerged as a valuable approach, but creating well-craf...
BACKGROUND: As the use of artificial intelligence (AI) becomes more prevalent in academic settings, there is a growing concern about maintaining a culture of integrity.
Journal of evaluation in clinical practice
Feb 1, 2025
AIM: The purpose of this study is to compare the efficacy of an artificial intelligence (AI)-based care plan learning strategy with standard training techniques in order to determine how it affects nursing students' learning results in newborn resusc...
British journal of nursing (Mark Allen Publishing)
Sep 19, 2024
AIM: To provide insights into the optimal use of virtual reality (VR) in nursing education by evaluating pre-registration nursing students' experiences in conducting holistic patient assessments while interacting with artificial intelligence (AI)-led...
This article provides an overview of the use of telepresence robots in clinical practice and describes an evaluation of an educational project in which distance-based nurse practitioner students used telepresence robots in clinical simulations with o...
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