AIMC Topic: Education, Nursing, Baccalaureate

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Factors affecting Artificial Intelligence usage intention among nursing students: Unified theory of acceptance and use of technology.

Nurse education today
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...

Investigation of the relationship between medical artificial intelligence readiness and individual innovativeness levels in nursing students.

Nurse education today
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...

A systematic review and sequential explanatory synthesis: Artificial intelligence in healthcare education, a case of nursing.

International nursing review
AIM: This review aims to explore the impact of artificial intelligence (AI) on knowledge acquisition, skills development, and attitudes among nursing students.

Building Clinical Simulations With ChatGPT in Nursing Education.

The Journal of nursing education
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...

ChatGPT in Higher Education: Practical Ideas for Addressing Artificial Intelligence in Nursing Education.

The Journal of nursing education
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.

Improving Nursing Students' Learning Outcomes in Neonatal Resuscitation: A Quasi-Experimental Study Comparing AI-Assisted Care Plan Learning With Traditional Instruction.

Journal of evaluation in clinical practice
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...

Virtual reality with artificial intelligence-led scenarios in nursing education: a project evaluation.

British journal of nursing (Mark Allen Publishing)
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...

Integrating Telepresence Robots Into Nursing Simulation.

Nurse educator
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...