Ukraine higher education based on data-driven decision making (DDDM)

K. Bondar, O. Shestopalova, V. Hamaniuk, Vyacheslav Tursky
{"title":"Ukraine higher education based on data-driven decision making (DDDM)","authors":"K. Bondar, O. Shestopalova, V. Hamaniuk, Vyacheslav Tursky","doi":"10.55056/cte.564","DOIUrl":null,"url":null,"abstract":"This article presents a theoretical review and empirical study of the assessment of the quality of BA and MA online education during the Russian military invasion of Ukraine in 2022. A qualitative theoretical analysis and comparison are made with a study of higher education quality assessment across Ukraine during the war in 2022 (\\textit{N} = 12019). The article analyzes the tools and structure of student feedback on the evaluation of the educational process. The undergraduate and graduate programs are modified based on the analysis of this data. In the Ukrainian higher education space, the National Qualifications Framework requirements for each specialty have been under development since 2014. The National Qualifications Framework developed a list of interdisciplinary competencies that should be transferred to academic courses. According to the Ukrainian higher education standard, universities must provide empirical evidence that their students actually acquire these competencies. Baseline data on the assessment of the quality of online education by student teachers during the war in Ukraine is presented using the case study of the Kriviy Rih State Pedagogical University (\\textit{N} = 688). Further modifications of the questionnaire to assess the quality of teaching in order to improve data-driven decision-making and testing ethics are proposed.","PeriodicalId":240357,"journal":{"name":"CTE Workshop Proceedings","volume":"17 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.564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

This article presents a theoretical review and empirical study of the assessment of the quality of BA and MA online education during the Russian military invasion of Ukraine in 2022. A qualitative theoretical analysis and comparison are made with a study of higher education quality assessment across Ukraine during the war in 2022 (\textit{N} = 12019). The article analyzes the tools and structure of student feedback on the evaluation of the educational process. The undergraduate and graduate programs are modified based on the analysis of this data. In the Ukrainian higher education space, the National Qualifications Framework requirements for each specialty have been under development since 2014. The National Qualifications Framework developed a list of interdisciplinary competencies that should be transferred to academic courses. According to the Ukrainian higher education standard, universities must provide empirical evidence that their students actually acquire these competencies. Baseline data on the assessment of the quality of online education by student teachers during the war in Ukraine is presented using the case study of the Kriviy Rih State Pedagogical University (\textit{N} = 688). Further modifications of the questionnaire to assess the quality of teaching in order to improve data-driven decision-making and testing ethics are proposed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于数据驱动决策(DDDM)的乌克兰高等教育
本文对2022年俄罗斯军事入侵乌克兰期间BA和MA在线教育质量评估进行了理论回顾和实证研究。本文对2022年乌克兰战争期间(\textit{N} = 12019)的高等教育质量评估进行了定性理论分析和比较。本文分析了教育过程评价中学生反馈的工具和结构。根据这些数据的分析,修改了本科和研究生课程。在乌克兰高等教育领域,自2014年以来,每个专业的国家资格框架要求一直在制定中。国家资格框架制定了一份应转移到学术课程的跨学科能力清单。根据乌克兰高等教育标准,大学必须提供经验证据,证明其学生实际上获得了这些能力。通过Kriviy Rih国立师范大学(\textit{N} = 688)的案例研究,介绍了乌克兰战争期间学生教师在线教育质量评估的基线数据。建议进一步修改问卷以评估教学质量,以改善数据驱动的决策和测试伦理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Comparing social media use in school management: experiences from Ukraine and the United States Empirical comparison of clustering and classification methods for detecting Internet addiction Digital twin technology for blended learning in educational institutions during COVID-19 pandemic Developing digital competence of teachers in postgraduate education using Google Workspace for Education Using corporate cloud for teaching Cisco Network Academy courses: a case study
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1