高等教育机构电子学习实施模式和资源支持的有效性分析:COVID-19大流行中的案例研究和见解

O. Glazunova, M. Mokriiev, O. Kuzminska, V. Korolchuk, N. Morze, L. Varchenko-Trotsenko, Roman A. Zolotukha
{"title":"高等教育机构电子学习实施模式和资源支持的有效性分析:COVID-19大流行中的案例研究和见解","authors":"O. Glazunova, M. Mokriiev, O. Kuzminska, V. Korolchuk, N. Morze, L. Varchenko-Trotsenko, Roman A. Zolotukha","doi":"10.55056/cte.558","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic has accentuated the need for comprehensive analysis of the effectiveness of e-learning implementation models and the supporting resources in higher education institutions. This article provides an overview of solutions and case studies, focusing on the selection and evaluation of individual services and learning management platforms. To gauge the effectiveness of electronic resources in meeting students’ educational needs, the study recommends employing quantitative indicators in conjunction with students’ performance descriptions. This includes leveraging educational analytics to gather data on students’ frequency and duration of engagement with specific e-resources. The functionality modules “Course Comparison” of the Moodle Learning Management System (LMS) and “Statistics”, along with the optional Analytics module, are reviewed. The article presents the results of applying these modules to analyze e-learning courses at the National University of Life and Environmental Sciences of Ukraine and Boris Grinchenko Kyiv University. Furthermore, the study investigates the factors contributing to students’ limited usage of individual e-courses. By examining these case studies and shedding light on the reasons behind students’ reduced engagement, this article contributes valuable insights to enhance the efficacy of e-learning implementation and resource support in higher education institutions.","PeriodicalId":240357,"journal":{"name":"CTE Workshop Proceedings","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Effectiveness analysis of e-learning implementation models and resource support in higher education institutions: case studies and insights amidst the COVID-19 pandemic\",\"authors\":\"O. Glazunova, M. Mokriiev, O. Kuzminska, V. Korolchuk, N. Morze, L. Varchenko-Trotsenko, Roman A. Zolotukha\",\"doi\":\"10.55056/cte.558\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The COVID-19 pandemic has accentuated the need for comprehensive analysis of the effectiveness of e-learning implementation models and the supporting resources in higher education institutions. This article provides an overview of solutions and case studies, focusing on the selection and evaluation of individual services and learning management platforms. To gauge the effectiveness of electronic resources in meeting students’ educational needs, the study recommends employing quantitative indicators in conjunction with students’ performance descriptions. This includes leveraging educational analytics to gather data on students’ frequency and duration of engagement with specific e-resources. The functionality modules “Course Comparison” of the Moodle Learning Management System (LMS) and “Statistics”, along with the optional Analytics module, are reviewed. The article presents the results of applying these modules to analyze e-learning courses at the National University of Life and Environmental Sciences of Ukraine and Boris Grinchenko Kyiv University. Furthermore, the study investigates the factors contributing to students’ limited usage of individual e-courses. By examining these case studies and shedding light on the reasons behind students’ reduced engagement, this article contributes valuable insights to enhance the efficacy of e-learning implementation and resource support in higher education institutions.\",\"PeriodicalId\":240357,\"journal\":{\"name\":\"CTE Workshop Proceedings\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CTE Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55056/cte.558\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CTE Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55056/cte.558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

2019冠状病毒病大流行凸显了对高等教育机构电子学习实施模式和支持资源的有效性进行全面分析的必要性。本文概述了解决方案和案例研究,重点介绍了个人服务和学习管理平台的选择和评估。为了评估电子资源在满足学生教育需要方面的有效性,研究建议采用量化指标,并结合学生的表现描述。这包括利用教育分析来收集有关学生使用特定电子资源的频率和持续时间的数据。复习了Moodle学习管理系统(LMS)的功能模块“课程比较”和“统计”,以及可选的分析模块。本文介绍了应用这些模块分析乌克兰国立生命与环境科学大学和基辅大学鲍里斯格林琴科电子学习课程的结果。此外,本研究还探讨了影响学生使用个别电子课程的因素。通过分析这些案例研究并揭示学生参与度降低背后的原因,本文为提高高等教育机构电子学习实施和资源支持的有效性提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effectiveness analysis of e-learning implementation models and resource support in higher education institutions: case studies and insights amidst the COVID-19 pandemic
The COVID-19 pandemic has accentuated the need for comprehensive analysis of the effectiveness of e-learning implementation models and the supporting resources in higher education institutions. This article provides an overview of solutions and case studies, focusing on the selection and evaluation of individual services and learning management platforms. To gauge the effectiveness of electronic resources in meeting students’ educational needs, the study recommends employing quantitative indicators in conjunction with students’ performance descriptions. This includes leveraging educational analytics to gather data on students’ frequency and duration of engagement with specific e-resources. The functionality modules “Course Comparison” of the Moodle Learning Management System (LMS) and “Statistics”, along with the optional Analytics module, are reviewed. The article presents the results of applying these modules to analyze e-learning courses at the National University of Life and Environmental Sciences of Ukraine and Boris Grinchenko Kyiv University. Furthermore, the study investigates the factors contributing to students’ limited usage of individual e-courses. By examining these case studies and shedding light on the reasons behind students’ reduced engagement, this article contributes valuable insights to enhance the efficacy of e-learning implementation and resource support in higher education institutions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信