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arXiv 2105.01432cs.CY
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COVID-19大流行对学习和教学的影响:来自高等教育的案例研究

Effects of the COVID-19 Pandemic on Learning and Teaching: a Case Study from Higher Education

Nidia Guadalupe López Flores, Anna Sigridur Islind, María Óskarsdóttir

摘要:

2019年12月,中国武汉发现首例SARS-CoV-2感染病例。从那天起,COVID-19在全球范围内蔓延,影响了1.53亿人。教育和许多其他部门一样,已经设法适应了不可能像以前那样面对面教授学生所隐含的要求和障碍。然而,人们对大流行期间紧急远程教学(ERT)的影响知之甚少。本研究描述及分析疫情对高等教育学生学习模式的影响。本研究以学习管理系统(LMS)互动、作业提交率、教师观点三个主要因素进行分析。创建了几个变量来分析研究模式,点击不同的LMS组件,在一天中,一周和一部分的任期,与LMS互动的时间跨度和等级类别的使用。结果表明,根据研究的一年,学习模式的显着差异,并确定了反映教师的课程结构的变化的影响的变量。这项研究概述了高等教育的新常态的第一个见解,提供了重要的影响,支持教师在创建学术材料,充分满足学生的特殊需求,根据他们的学习年,学习模式的变化,并通过长期的时间和活动的分布。

英文摘要:

In December 2019, the first case of SARS-CoV-2 infection was identified in Wuhan, China. Since that day, COVID-19 has spread worldwide, affecting 153 million people. Education, as many other sectors, has managed to adapt to the requirements and barriers implied by the impossibility to teach students face-to-face as it was done before. Yet, little is known about the implications of emergency remote teaching (ERT) during the pandemic. This study describes and analyzes the impact of the pandemic on the study patterns of higher education students. The analysis was performed by the integration of three main components: (1) interaction with the learning management system (LMS), (2) Assignment submission rate, and (3) Teachers' perspective. Several variables were created to analyze the study patterns, clicks on different LMS components, usage during the day, week and part of the term, the time span of interaction with the LMS, and grade categories. The results showed significant differences in study patterns depending on the year of study, and the variables reflecting the effect of teachers' changes in the course structure are identified. This study outlines the first insights of higher education's new normality, providing important implications for supporting teachers in creating academic material that adequately addresses students' particular needs depending on their year of study, changes in study pattern, and distribution of time and activity through the term.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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