AIMC Topic: Education, Nursing, Baccalaureate

Clear Filters Showing 1 to 10 of 38 articles

The Effect of a Generative AI-Based Teaching Strategy on Building Students' Competency.

The Journal of nursing education
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...

Nurse Educators' Perceptions of the Use of Artificial Intelligence: A Qualitative Study.

The Journal of nursing education
BACKGROUND: The integration of generative artificial intelligence (GAI) into nursing education raises concerns owing to nursing's strong emphasis on human-centered care. This study explored novice nurse educators' perceptions of GAI in nursing educat...

Deep learning approach in undergraduate nursing students and their relationship with learning outcomes: A latent profile analysis.

Nurse education in practice
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
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...

Integration of Artificial Intelligence in Nursing Simulation Education: A Scoping Review.

Nurse educator
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
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...

Redefining pedagogy with artificial intelligence: How nursing students are shaping the future of learning.

Nurse education in practice
AIM: This study aimed to explore the factors influencing undergraduate nursing students' use of artificial intelligence (AI) tools in their studies, examining how this usage shapes their learning experiences and perceptions of traditional pedagogical...

Awareness of the Role of Artificial Intelligence in Health Care among Undergraduate Nursing Students: A Descriptive Cross-Ssectional Study.

Nurse education today
BACKGROUND: Artificial intelligence (AI) has the potential to revolutionize healthcare by improving efficiency and reducing errors; however, challenges such as inadequate funding and lack of awareness among healthcare professionals hinder its integra...

Integrating generative artificial intelligence in a writing intensive course for undergraduate nursing students.

Journal of professional nursing : official journal of the American Association of Colleges of Nursing
While generative artificial intelligence (AI) has been around for many years, it has only recently become available for use by the public. This powerful resource has changed the landscape for higher education and many instructors fear the negative ef...

Exploring artificial intelligence literacy and the use of ChatGPT and copilot in instruction on nursing academic report writing.

Nurse education today
BACKGROUND: Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professional advancement. Rapidly emerging artificial intelligence (AI) tools such as ChatGPT and Copilot are t...