基于数据驱动决策(DDDM)的乌克兰高等教育

K. Bondar, O. Shestopalova, V. Hamaniuk, Vyacheslav Tursky
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引用次数: 2

摘要

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