Learning effects of virtual versus high-fidelity simulations in nursing students: a crossover comparison

Author:

Park SoMiORCID,Hur Hea KungORCID,Chung ChaeWeonORCID

Abstract

Abstract Background Simulation is an alternative or complementary method for students who cannot obtain sufficient direct care experience, as they allow students to experience various clinical situations. Mixed learning is becoming increasingly common as a way to provide students with opportunities to experience real-life clinical scenarios. This study compared the learning effects of a virtual simulation and a high-fidelity simulation in a different order of presentation, with a focus on training for premature rupture of membranes in the field maternity nursing. Through this comparison, this study aimed to obtain evidence to support decision-making regarding the most effective way to utilize mixed simulation strategies. Methods A quasi-experimental, crossover-design study was performed with two randomly allocated groups of 26 junior nursing students each. The virtual simulation used the vSim® for nursing, and the high-fidelity simulation used a scenario developed by the research team. The learning effects were measured in terms of the problem-solving process, clinical reasoning, reflective thinking, satisfaction with the practicum, and self-confidence. The data collected with a structured questionnaire were analyzed using the Mann–Whitney test. Results The virtual simulation-first, high-fidelity simulation-second order led to significantly higher scores for reflective thinking (z = 3.53, p < .001) and self-confidence (z = 2.47, p = .013) than the other order. Conclusions The initial application of virtual simulation seemed to improve students’ thought processes, and then high-fidelity simulation seemed to allow them to perform actual practice better. Further trials of mixed learning methods are necessary to maximize learning effects in nursing education. Trial registration KCT0005767 at 2021–01-12 registered.

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

General Nursing

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3