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Evaluation of Distance Learning from the Perspective of University Students - A Case Study

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Emerging Technologies for Education (SETE 2021)

Abstract

The COVID-19 pandemic has had a significant impact on education. Almost overnight, it basically halted teaching at most educational institutions, and has gradually affected all educational levels. This situation was unprecedented. Educational institutions had to switch to a new form of education urgently. The pandemic affected the means as well as the methods of learning. It affected all stakeholders, i.e., teachers, students/pupils and institutions. The aim of this paper is to present the research results of a questionnaire that was focused on the distance learning experience of students. The questionnaire provided student feedback about the distance form (remote modality) of teaching they had experienced. The research was carried out at the Faculty of Informatics and Management (FIM) at the University of Hradec Králové. The surveyed students studied during the 2020/2021 academic year using distance learning. Overall, 122 students took part in the research. Results show that online tools such as Microsoft Teams and BlackBoard are most often used at FIM. Students indicated that the BlackBoard Learning Management System (LMS) was the most beneficial tool. Overall, respondents are equally satisfied with distance learning and face-to-face learning. It cannot be unequivocally determined whether students prefer distance learning or face-to-face learning.

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Acknowledgements

The paper was written with the support of the specific project 2021 grant “Determinants of Cognitive Processes Impacting the Work Performance” granted by the University of Hradec Králové, Czech Republic and thanks to help of students František Hašek and Anna Borkovcová.

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Correspondence to Vaclav Zubr .

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Zubr, V., Sokolova, M. (2021). Evaluation of Distance Learning from the Perspective of University Students - A Case Study. In: Jia, W., et al. Emerging Technologies for Education. SETE 2021. Lecture Notes in Computer Science(), vol 13089. Springer, Cham. https://doi.org/10.1007/978-3-030-92836-0_6

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  • DOI: https://doi.org/10.1007/978-3-030-92836-0_6

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