Evaluation of Final Examination Performance at Czech University of Life Sciences during the COVID-19 Outbreak

Autor/inn/en	Moravec, Lukáš; Jecmínek, Jakub; Kukalová, Gabriela
Titel	Evaluation of Final Examination Performance at Czech University of Life Sciences during the COVID-19 Outbreak
Quelle	In: Journal on Efficiency and Responsibility in Education and Science, 15 (2022) 1, S.47-52 (6 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	ORCID (Moravec, Lukáš) ORCID (Kukalová, Gabriela)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2336-2375
Schlagwörter	Tests; Scores; Foreign Countries; College Students; Biological Sciences; COVID-19; Pandemics; Distance Education; Regression (Statistics); Computer Assisted Testing; Czech Republic (Prague) + Suchen Sie Ihr Suchwort? Examination; Prüfung; Examen; Ausland; Collegestudent; Abwasserbiologie; Distance study; Distance learning; Fernunterricht; Regression; Regressionsanalyse
Abstract	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. (As Provided).
Anmerkungen	Czech University of Life Sciences Prague. Czech University of Life Sciences Prague, Kamýcká 129, Prague 6 - Suchdol 165 00, Czech Republic. e-mail: editor@eriesjournal.com; Web site: https://www.eriesjournal.com/index.php/eries
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01