Rui Zhu, Wenjie Hou, Lingmeng Wang, Chenchen Zhang, Xing Guo, Dan Luo, Fuzhi Wang
Willingness to purchase institutionalised elderly services and influencing factors among Chinese older adults: a nationwide cross-sectional study
BMJ open
artificial intelligence growing phenomenon soon facilitate widescale changes many professions expected play important role field medical education study explored realistic feelings experiences nursing undergraduates participating different stages artificial intelligence project task driven learning provide basis artificial intelligence participation nursing teaching conducted facetoface semistructured interviews nursing undergraduates participating nursing research course adopts artificial intelligence project task driven learning medical university ningxia september november 2023 understand experience using artificial intelligence learning emotional changes different stages interview guide included items personal experience feelings completing project tasks dialogue artificial intelligence suggestions course content thematic analysis used analyze interview data study followed coreq checklist according interview data three themes summarized undergraduate nursing students different experiences participating artificial intelligence project task driven learning different stages mainly manifested diverse emotional experiences initial knowledge deficiency individual growth supported external forces adaptation period expectations suggestions birth results end period nursing undergraduates actively adapt integration artificial intelligence nursing teaching dynamically observe students learning experience strengthen positive guidance provide support personalized teaching models better leveraging advantages artificial intelligence participation teaching