Evaluation of final examination performance at Czech University of Life Sciences during the COVID-19 outbreak
The COVID-19 pandemic outbreak has upended the educational system worldwide, possibly with severe long-term consequences as most training institutions were forced to move to an online environment. Given the sudden transition to remote education, the main objective of this contribution is to evaluate...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Czech University of Life Sciences Prague
2022-03-01
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| Series: | Journal on Efficiency and Responsibility in Education and Science |
| Subjects: | |
| Online Access: | https://www.eriesjournal.com/index.php/eries/article/view/457 |
| _version_ | 1818773709089931264 |
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| author | Lukáš Moravec Jakub Ječmínek Gabriela Kukalová |
| author_facet | Lukáš Moravec Jakub Ječmínek Gabriela Kukalová |
| author_sort | Lukáš Moravec |
| collection | DOAJ |
| description | The COVID-19 pandemic outbreak has upended the educational system worldwide, possibly with severe long-term consequences as most training institutions were forced to move to an online environment. Given the sudden transition to remote education, the main objective of this contribution is to evaluate the impact of distance education on examination results. We investigated the examination results of tax related subjects collected at the Czech University of Life Sciences in Prague during the period from 2014 to 2020. The sample consists of examination results of 120 different classes within 6 years with a total amount of 7268 observations. Firstly, we pivoted the data into the long format and performed binary logistic regression. Our findings suggest that the odds that student successfully passes the exam increases if the student was examined online compared to in-person. Additionally, we used KNN regression which enables us to predict success rate for an upcoming semester. According to our analysis, it is expected that on average 82 students out of 100 will successfully pass the exam. The model was calibrated using cross-validation to choose optimal K. |
| first_indexed | 2024-12-18T10:29:33Z |
| format | Article |
| id | doaj.art-950f9ef20bab4ef88b101daf98308805 |
| institution | Directory Open Access Journal |
| issn | 2336-2375 1803-1617 |
| language | English |
| last_indexed | 2024-12-18T10:29:33Z |
| publishDate | 2022-03-01 |
| publisher | Czech University of Life Sciences Prague |
| record_format | Article |
| series | Journal on Efficiency and Responsibility in Education and Science |
| spelling | doaj.art-950f9ef20bab4ef88b101daf983088052022-12-21T21:10:53ZengCzech University of Life Sciences PragueJournal on Efficiency and Responsibility in Education and Science2336-23751803-16172022-03-01151475210.7160/eriesj.2022.150105Evaluation of final examination performance at Czech University of Life Sciences during the COVID-19 outbreakLukáš Moravec0https://orcid.org/0000-0002-7713-4221Jakub Ječmínek1Gabriela Kukalová2https://orcid.org/0000-0002-1495-525XCzech University of Life Sciences PragueCzech University of Life Sciences PragueCzech University of Life Sciences PragueThe COVID-19 pandemic outbreak has upended the educational system worldwide, possibly with severe long-term consequences as most training institutions were forced to move to an online environment. Given the sudden transition to remote education, the main objective of this contribution is to evaluate the impact of distance education on examination results. We investigated the examination results of tax related subjects collected at the Czech University of Life Sciences in Prague during the period from 2014 to 2020. The sample consists of examination results of 120 different classes within 6 years with a total amount of 7268 observations. Firstly, we pivoted the data into the long format and performed binary logistic regression. Our findings suggest that the odds that student successfully passes the exam increases if the student was examined online compared to in-person. Additionally, we used KNN regression which enables us to predict success rate for an upcoming semester. According to our analysis, it is expected that on average 82 students out of 100 will successfully pass the exam. The model was calibrated using cross-validation to choose optimal K.https://www.eriesjournal.com/index.php/eries/article/view/457covid-19e-learningexaminationresultsdistance education |
| spellingShingle | Lukáš Moravec Jakub Ječmínek Gabriela Kukalová Evaluation of final examination performance at Czech University of Life Sciences during the COVID-19 outbreak Journal on Efficiency and Responsibility in Education and Science covid-19 e-learning examination results distance education |
| title | Evaluation of final examination performance at Czech University of Life Sciences during the COVID-19 outbreak |
| title_full | Evaluation of final examination performance at Czech University of Life Sciences during the COVID-19 outbreak |
| title_fullStr | Evaluation of final examination performance at Czech University of Life Sciences during the COVID-19 outbreak |
| title_full_unstemmed | Evaluation of final examination performance at Czech University of Life Sciences during the COVID-19 outbreak |
| title_short | Evaluation of final examination performance at Czech University of Life Sciences during the COVID-19 outbreak |
| title_sort | evaluation of final examination performance at czech university of life sciences during the covid 19 outbreak |
| topic | covid-19 e-learning examination results distance education |
| url | https://www.eriesjournal.com/index.php/eries/article/view/457 |
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