医学高等学校教育过程中实施数字技术的有效性分析:挑战与优化

IF 0.4 Q4 EDUCATION & EDUCATIONAL RESEARCH
Ihor Vasianovych, Olha Тatarina, E. Lenha, O. Ruda, Olha Vainahii, Nataliia Dymar
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引用次数: 1

摘要

2019冠状病毒病大流行导致高等医学教育更加密集地使用数字技术。该研究的目的是分析乌克兰医科大学在教育过程中实施数字技术的有效性,确定电子学习当前面临的挑战,并提出潜在的优化方法。研究采用了一般的科学方法(如分析、综合)和具体的教学方法(规范、抽象、比较预测)。结果概述了在医学高等学校系统中使用数字技术的主要优势。还提请注意对教育进程产生一定负面影响的主要挑战。在后者中,注意到未来医生的实际培训问题,因为远程学习没有提供充分实施技能建设部分的机会。研究结果还强调了解决医学高等教育机构使用数字技术问题的可能方法。提出不仅要引进使用远程学习技术,而且要将其与传统方法和自主学习相结合。强调了进一步的研究,作为医学领域远程教育有效性的实证测量。而且,这种有效性仍然需要最终证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the effectiveness of the implementation of digital technologies in the educational process of medical HEIs: challenges, optimization
The COVID-19 pandemic has led to the more intensive use of digital technologies in higher medical education. The purpose of the study was to analyze the effectiveness of the implementation of digital technologies in the educational process of Ukrainian medical universities, to identify the current challenges e-learning faces, and to propose potential ways of optimization. General scientific methods (for example analysis, synthesis) specific pedagogical methods (specification, abstraction, comparison forecasting) were used for the research. The results outline the main advantages of using digital technologies in the medical higher school system. Attention is also drawn to the main challenges that have a certain negative impact on the educational process. Among the latter, problems with the practical training of future doctors were noted since distance learning does not provide an opportunity to fully implement skills building component. The results also highlight possible ways to solve the problems of using digital technologies in medical higher education institutions. It is proposed to introduce to use not only distance learning technologies, but to combine them with the traditional approach and independent learning. It is emphasized about further studies, as empirical measurements of the effectiveness of distance education in the medical field. And, this effectivenessstill needs to be ultimately proven.
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