Han Jeong-Won, Park Junhee, Lee Hanna
College of Nursing Science, Kyung Hee University, Seoul, Republic of Korea.
Department of Nursing, Dongnam Health University, Suwon, Gyeonggi-do, Republic of Korea.
BMC Med Educ. 2025 Jun 2;25(1):825. doi: 10.1186/s12909-025-07316-2.
Critical care nurses require adequate thinking skills to assess the condition of acutely-ill patients, make decisions, and implement appropriate interventions. Specifically, precise knowledge and swift response to mechanical ventilation-related nursing are of utmost importance. Educational needs of clinical nurses revealed a high demand for education in mechanical ventilation nursing. This study aims to develop a chatbot educational program for self-directed learning to enhance nursing students' skills and assess its impact on clinical reasoning competency, mechanical ventilation nursing-related knowledge, self-confidence, and education satisfaction.
This study employed a randomized controlled trial with a pretest-posttest parallel group design. The participants included fourth-year nursing students from the Department of Nursing at a university in the "G" province in South Korea, with 31 participants in the experimental group and 29 in the control group. The experimental group had access to the Uniform Resource Locator or URL of the mechanical ventilation nursing chatbot educational program and video lectures, while the control group received only the video lectures.
The experimental group demonstrated statistically significantly higher clinical reasoning competency (t=-5.00, p <.001), self-confidence (t=-2.62, p =.011), and satisfaction in education (t=-3.51, p <.001) compared to the control group. However, there was no statistically significant difference in knowledge (t=-0.09, p =.926).
The chatbot educational program could be an effective educational method to positively influence nursing students' clinical reasoning competency, self-confidence, and education satisfaction. It can enhance self-directed learning among nursing students and effectively improve nursing competency.
Not applicable.
重症监护护士需要具备足够的思维能力，以评估急重症患者的病情、做出决策并实施适当的干预措施。具体而言，对机械通气相关护理的精确知识和迅速反应至关重要。临床护士的教育需求显示出对机械通气护理教育的高度需求。本研究旨在开发一个用于自主学习的聊天机器人教育项目，以提高护生的技能，并评估其对临床推理能力、机械通气护理相关知识、自信心和教育满意度的影响。
本研究采用随机对照试验，采用前测-后测平行组设计。参与者包括韩国“G”省一所大学护理系的四年级护生，实验组有31名参与者，对照组有29名参与者。实验组可以访问机械通气护理聊天机器人教育项目的统一资源定位器（URL）和视频讲座，而对照组只接受视频讲座。
与对照组相比，实验组在临床推理能力（t=-5.00，p<.001）、自信心（t=-2.62，p=.011）和教育满意度（t=-3.51，p<.001）方面在统计学上有显著更高的水平。然而，在知识方面没有统计学上的显著差异（t=-0.09，p=.926）。
聊天机器人教育项目可能是一种有效的教育方法，对护生的临床推理能力、自信心和教育满意度有积极影响。它可以增强护生的自主学习能力，并有效提高护理能力。
不适用。
