Organization of the university educational environment in the context of the COVID-19 pandemic

IF 2.8 Q1 EDUCATION & EDUCATIONAL RESEARCH

Informatics in Education Pub Date : 2021-04-26 DOI:10.32517/0234-0453-2021-36-2-5-11

A. Zolotaryuk

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引用次数: 3

Abstract

The article reveals issues related to the impact of the COVID-19 pandemic on various aspects of human activity. The necessity of transferring at the peak of diseases of educational institutions to the distance format of conducting classes is substantiated. Studying the articles of a number of authors, the high efficiency of distance learning for high school students and university students is noted; the forms of distance learning in various universities of the world and the problems of such learning are revealed; attention is focused on the possibilities of using a hybrid learning model in the educational process with preliminary recording of lectures on YouTube and conducting classes online using the Teams, Skype, Zoom technology platforms; an assessment of the perception of innovative digital technologies by teachers and students is carried out; it is proposed to submit practically significant, complex tasks for exams that require research and the use of competencies by students of several specialized disciplines. Considerable attention is paid to the organization of the educational process at the Financial University under the Government of the Russian Federation. It is noted that many problems of the transition to distance learning were avoided thanks to the advance, systematic and purposeful work to form the university digital environment. The general technological scheme of the educational process of the university in a pandemic is illustrated and disclosed in detail. Information about specialized programs and packages that support the educational process is provided. The role of 1C software products, 1C cloud solutions, which support many basic disciplines in various areas of student training, is especially noted. The possibilities and directions of students’ research work in the field of data analysis and machine learning are revealed. It is concluded that the transition of education to distance learning has not become critical for the Financial University. The University continues to train highly-demanded qualified personnel.

查看原文本刊更多论文

COVID-19大流行背景下大学教育环境的组织

这篇文章揭示了与COVID-19大流行对人类活动各个方面的影响有关的问题。论证了教育机构在疾病高峰期转向远程授课的必要性。通过对一些作者的文章的研究，可以看出远程教育对高中生和大学生的高效性;揭示了世界各国大学远程学习的形式及其存在的问题;关注的重点是在教育过程中使用混合学习模式的可能性，初步记录YouTube上的讲座，并使用Teams, Skype, Zoom技术平台在线进行课程;对教师和学生对创新数字技术的看法进行了评估;建议在考试中提交实际意义重大的复杂任务，这些任务需要几个专业学科的学生进行研究和使用能力。在俄罗斯联邦政府管理下的金融大学，教育过程的组织工作受到了相当大的重视。指出，由于高校数字化环境建设的先进性、系统性和目的性，避免了远程教育转型中的许多问题。详细说明并公开了该大学流行病教育过程的总体技术方案。提供了有关支持教育过程的专门程序和包的信息。1C软件产品、1C云解决方案的作用尤其值得注意，它们支持学生培训各个领域的许多基础学科。揭示了学生在数据分析和机器学习领域的研究工作的可能性和方向。结论是，教育向远程学习的过渡并没有成为金融大学的关键。大学继续培养高要求的合格人才。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Informatics in Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

6.10

自引率

3.70%

发文量

审稿时长

20 weeks

期刊介绍： INFORMATICS IN EDUCATION publishes original articles about theoretical, experimental and methodological studies in the fields of informatics (computer science) education and educational applications of information technology, ranging from primary to tertiary education. Multidisciplinary research studies that enhance our understanding of how theoretical and technological innovations translate into educational practice are most welcome. We are particularly interested in work at boundaries, both the boundaries of informatics and of education. The topics covered by INFORMATICS IN EDUCATION will range across diverse aspects of informatics (computer science) education research including: empirical studies, including composing different approaches to teach various subjects, studying availability of various concepts at a given age, measuring knowledge transfer and skills developed, addressing gender issues, etc. statistical research on big data related to informatics (computer science) activities including e.g. research on assessment, online teaching, competitions, etc. educational engineering focusing mainly on developing high quality original teaching sequences of different informatics (computer science) topics that offer new, successful ways for knowledge transfer and development of computational thinking machine learning of student''s behavior including the use of information technology to observe students in the learning process and discovering clusters of their working design and evaluation of educational tools that apply information technology in novel ways.