Department of Nursing, Faculty of Health Professions, Al-Quds University, Jerusalem, Palestine.
Faculty of Nursing, Zarqa University, Zarqa, Jordan.
Nurse Educ Today. 2024 Nov;142:106355. doi: 10.1016/j.nedt.2024.106355. Epub 2024 Aug 14.
Artificial intelligence technology is among the most significant advancements that provide students with effective learning opportunities in this digital era. Therefore, the National League for Nursing states that it is necessary to reframe the nursing education process.
This study aimed to determine the factors that affect the usefulness and sustainability of artificial intelligence tools used in nursing education.
A descriptive cross-sectional study was conducted among. Three models, including the Technological Acceptance Model (TAM), the Information System Success Model (ISSM), and the Online Learning Self-Efficacy (OLSE), were used.
All of fourth- year undergraduate nursing students who were enrolled in nursing department regularly (N = 420), and who respond (n = 204).
In the nursing department of the health professions faculty at AL-Quds University, in Palestine.
Among the 204 students who responded, 9.80 % employed simulation, 5.40 % utilized virtual reality, 19.10 % used Chat GPT, 42.20 % used mobile applications, and 23.50 % utilized PowerPoint AI as part of their learning process. The mean and standard deviation (SD) were computed for key parameters related to the information system success model (AI) (ISSM) (M = 4.52, SD = 1.17). Technology Acceptance Model (TAM) (M = 4.61, SD = 1.16). Online Learning Self-Efficacy (OLSE) (M = 4.55, SD = 1.28).
There is a need to adapt teaching strategies and integrate AI tools as useful learning tools, which have become essential for students to complete their learning activities through enhancing knowledge of the multimodal technological factors that should be taken into consideration while creating AI tools across several domains for universities and developers.
人工智能技术是数字时代为学生提供有效学习机会的最重要进展之一。因此，美国护理联盟表示，有必要重新构建护理教育过程。
本研究旨在确定影响护理教育中使用的人工智能工具的有用性和可持续性的因素。
在护理系的 420 名全日制护理专业四年级本科生中进行了一项描述性横断面研究，使用了包括技术接受模型（TAM）、信息系统成功模型（ISSM）和在线学习自我效能感（OLSE）在内的三个模型。
所有在巴勒斯坦圣城大学健康专业学院护理系注册的护理专业四年级本科生（N=420），并做出回应（n=204）。
在巴勒斯坦圣城大学护理系。
在做出回应的 204 名学生中，有 9.80%使用模拟，5.40%使用虚拟现实，19.10%使用 ChatGPT，42.20%使用移动应用程序，23.50%使用 PowerPoint AI 作为学习过程的一部分。计算了与信息系统成功模型（AI）（ISSM）（M=4.52，SD=1.17）、技术接受模型（TAM）（M=4.61，SD=1.16）、在线学习自我效能感（OLSE）（M=4.55，SD=1.28）相关的关键参数的平均值和标准差。
需要调整教学策略并整合 AI 工具作为有用的学习工具，这对于学生通过增强对创建 AI 工具时应考虑的多模态技术因素的了解来完成学习活动变得至关重要，这些工具在多个领域对大学和开发者来说都是必不可少的。
