Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2021

Идентификатор DOI: 10.32744/pse.2021.4.5

Ключевые слова: covid-19, higher education, student academic performance, student grading system

Аннотация: The grading systems used for assessment students' knowledge in traditional and distance learning differ and give different assessments of learning outcomes, which affects the indicators of student academic performance. The trends of modern education are aimed at the increasing involvement of distance forms in the educational process of universities, which requires a certain synchronization of grading systems at the level of learning outcomes. The research is aimed at identification and confirmation of the existence of differences between the results of assessment in traditional and distance learning forms, which are reflected in the indicators of student performance. The study used methods of nonparametric analysis using the STATISTICA 10.0 program. The Mann-Whitney U-test was used to compare independent populations in cases where there were no signs of normal data distribution, and Pearson's Chi-square test was used to compare nominal values. To compare related (paired) quantitative samples, the Wilcoxon test was used. The research results showed a statistically significant increase in student academic performance during the COVID-19 pandemic during distance learning. Therefore, when comparing the indicators of student performance in the spring semesters of 2018/2019 and 2019/2020 academic years, significant differences were found in the U-criterion and Chi-square with different levels (p

Журнал: Perspektivy Nauki i Obrazovania

Выпуск журнала: Vol. 52, Is. 4

Номера страниц: 80-93

ISSN журнала: 23072334

Издатель: LLC Ecological Help

• Pogrebnikov A.K. (Institute of Space and Information Technologies, Department of Intelligent Control Systems, Siberian Federal University)
• Shestakov V.N. (Institute of Pedagogy, Psychology and Sociology, Department of Modern Educational Technologies, Siberian Federal University)
• Yakunin Y.Yu. (Institute of Space and Information Technologies, Department of Intelligent Control Systems, Siberian Federal University)

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