| Issue |
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 9 | |
| Section | Global Impact of COVID 19 on Economy and Society | |
| DOI | https://doi.org/10.1051/shsconf/20219201011 | |
| Published online | 13 January 2021 | |
University life during pandemic COVID-19: Attitudes of staff and students towards distance education
1 Azerbaijan State University of Economics, Department of Digital Economy and ICT, Istiglaliyyat 6, AZ1001 Baku, Azerbaijan
2 Azerbaijan State University of Economics, Department of Economic Regulation, Istiglaliyyat 6, AZ1001 Baku, Azerbaijan
* Corresponding author: ulviyya.rzayeva@unec.edu.az
Research background: The analysis of the problem was carried out according to the standard scheme: collection of information - description of the received data - generalization of data - recommendations. All the information available on this subject was obtained by questioning teachers, administrative staff and students.
Purpose of the article: This case study is aimed at studying social objects and relationships in the process of transition from traditional to remote education methods to obtain new information and identify relevant patterns that depend on gender and position at the university.
Methods: An online survey was conducted among 1792 people from March 15 to April 15, 2020 through an electronic questionnaire. The sample included academic and administrative staff, and UNEC’s students. Using the SPSS statistical software package, the Chi Square test is calculated.
Findings & Value added: The advantage of this study is the creation of a model that can be used not only to interpret the results of a sociological survey in real time, but also to make decisions and develop strategies for future developments.
Key words: Coronavirus infection / hypotheses / Pearson Chi Square test / gender / position
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.