虚拟教育中医学生临床教育影响因素的识别与解释:冠状病毒大流行

Zs. Javadi, K. Nouri Hasan
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引用次数: 0

摘要

导读:冠状病毒已经扰乱了全球医学教育。大多数医学院都尝试使用电子学习来维持教学医院医学生的标准学习。本研究旨在探讨影响医学生冠心病远程教育临床教育的因素。方法:采用含量分析法进行定性研究。样本研究是关于虚拟教育、医学教育和冠状病毒大流行临床教育的文章。最终选择23篇文章进行最终评审。采用MAXQDA10软件对文章进行开放编码。下一步,根据概念和语义相似性对代码进行分组,并为每个类别命名显示其特征的标题。为了检查研究的有效性,将文章的文本交给两位医学教育专家进行编码。结果:数据分析过程中的结果导致73个开放代码的识别,最终通过对代码进行分类和分析,得出3个主要类别和7个中心类别,包括提高医学生在冠状病毒大流行中的临床能力(利用虚拟教育减少对患者的伤害,提高使用e- learning的学习质量和数量,提高学生在虚拟临床教育中的沟通能力),提高质量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying and Explaining effective factors on Clinical Education of Medical Students in Virtual Education: Corona Pandemic
Introduction: Corona virus has disrupted medical education in the world. Most medical schools try to use e- learning to maintain the standard learning of medical students in teaching hospitals. The aim of this study was to identify and explain the factors affecting the clinical education of medical students in distance education in coronary conditions . Method: This qualitative study was performed by content analysis method. Sample research was articles on virtual education, medical education and clinical education in Corona pandemics. 23 articles were selected for the final review. Open coding of articles was performed using MAXQDA10 software. In the next step, the codes were grouped based on conceptual and semantic similarity, and each category was named with the titles that indicated its characteristics. In order to check the validity of the research, the text of the articles was given to two medical education specialists to be coded . Results: The results of data analysis in the process led to the identification of 73 open codes, which finally by categorizing and analyzing the codes, 3 main categories and 7 central categories, including increasing the clinical competence of medical students in corona pandemic (reducing harm to patients using virtual education Improving the quality and quantity of learning using e- learning, increasing students' communication skills in virtual clinical education), Improving the quality
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