AIMC Topic: Education, Nursing, Baccalaureate

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Midwifery students' understanding and knowledge of normal birth before 'delivery' of curriculum.

Midwifery
OBJECTIVE: To generate new knowledge that describes and explains the views and understanding, regarding midwifery and normal birth, that newly enrolled midwifery students hold at the commencement of their midwifery education.

Exploring the Role and Potential of Chatbots in Learning From the Perspective of Nursing Students: A Systematic Review of Qualitative Studies.

International nursing review
AIM: This study explores nursing students' experiences and needs regarding chatbot-assisted learning, while evaluating the opportunities and challenges they encounter.

Artificial Intelligence-Based Chabots' and Nursing Students' Academic Performance: The Mediating Role of Technophobia and Technophilia.

International nursing review
AIM: This study aims to assess the relationship between artificial intelligence (AI) chatbot usage on the academic performance of nursing students, focusing on the mediating roles of technophobia and technophilia.

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...