@article{ajnr20241232,
author={{Abualrahi, Amani and Habobi, Sakna and Almutar, Shereen and Al-Khwaildi, Farha and Alalq, Maryam and bomurah, Rouqayah and Abdrabalnabi, Zainab and Al-habib, Eman and Al-Mahdi, Fatimah and Al-Sadah, Fatimah},
title={Paradigm Shift: A Systematic Review of Integrating Artificial Intelligence in Nursing Education},
journal={American Journal of Nursing Research},
volume={12},
number={3},
pages={50--56},
year={2024},
url={https://pubs.sciepub.com/ajnr/12/3/2},
issn={2378-5586},
abstract={Artificial intelligence is rapidly evolving field, particularly in nursing education, where it can enhance learning and clinical decision-making. This systematic review synthesized evidence from 441 studies identified through databases like CINAHL EBSCO, Ovid Medline, and PubMed, focusing on impactful research from 2019 to 2024. After screening and applying inclusion and exclusion criteria, 9 studies were included. Two main themes emerged: the advantages and opportunities AI presents in nursing education, and the disadvantages and challenges it poses. While AI holds transformative potential, its effective integration requires strong infrastructure, ethical considerations, and active student involvement. Additionally, a significant knowledge gap in AI among nurses was noted, highlighting the need for targeted educational programs to enhance AI understanding and competencies.},
doi={10.12691/ajnr-12-3-2}
publisher={Science and Education Publishing}
}