AIMC Topic: Students, Nursing
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Redefining pedagogy with artificial intelligence: How nursing students are shaping the future of learning.
Nurse education in practice
Mar 13, 2025
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
Mar 8, 2025
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...
Perceptions and Attitudes of Registered Nurses and Nursing Students Toward Advanced Technology and Artificial Intelligence: A Review of Literature.
Computers, informatics, nursing : CIN
Mar 1, 2025
The use of technology in healthcare and healthcare education settings has increased rapidly across the United States and accelerated due to the COVID-19 pandemic. However, perceptions of new technologies in clinical nursing and nursing education are ...
Nursing Student and Faculty Attitudes, Perceptions, and Behavioral Intentions of Artificial Intelligence Use in Nursing Education: An Integrative Review.
Nursing education perspectives
Jan 24, 2025
AIM: This integrative review critiques and synthesizes current research on nursing faculty and students' attitudes, perceptions, and behavioral intentions toward artificial intelligence (AI)-based tools in nursing education.
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
Jan 15, 2025
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
Jan 14, 2025
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...
Facilitators and Barriers of Large Language Model Adoption Among Nursing Students: A Qualitative Descriptive Study.
Journal of advanced nursing
Jan 4, 2025
AIM: To explore nursing students' perceptions and experiences of using large language models and identify the facilitators and barriers by applying the Theory of Planned Behaviour.
Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis.
BMC medical education
Dec 19, 2024
BACKGROUND: Compassion fatigue is a significant issue in nursing, affecting both registered nurses and nursing students, potentially leading to burnout and reduced quality of care. During internships, compassion fatigue can shape nursing students' ca...
Demographic factors, knowledge, attitude and perception and their association with nursing students' intention to use artificial intelligence (AI): a multicentre survey across 10 Arab countries.
BMC medical education
Dec 18, 2024
BACKGROUND: Artificial intelligence (AI) is becoming increasingly important in healthcare, with a significant impact on nursing practice. As future healthcare practitioners, nursing students must be prepared to incorporate AI technologies into their ...
Artificial intelligence in academic writing: a detailed examination.
International journal of nursing education scholarship
Dec 18, 2024
INTRODUCTION: As AI tools have become popular in academia, concerns about their impact on student originality and academic integrity have arisen.
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