E3S Web Conf.
Volume 210, 2020Innovative Technologies in Science and Education (ITSE-2020)
|Number of page(s)||8|
|Published online||04 December 2020|
University students' attitude to distance learning in situation of uncertainty
1 Don State Technical University, Gagarin sq., 1, Rostov on Don, 344003, Russia
2 Rostov State Transport University, Rostov Rifle Regiment of the People's Militia Sq., 2, Rostov-on-Don, 344038, Russia
* Corresponding author: email@example.com
The article presents an analysis of using distance learning technology in university education in the context of the COVID-19 pandemic and the attitude of students to this format of education. The authors justify the urgency of the problem under study for modern education and update the basic requirements for education in the situation of growing uncertainty. The paper describe the methodological foundations and genesis of the development of distance learning, distinguishes the concepts of "distance education" and "distance learning". The authors determine the features of distance learning in modern conditions and highlight the main problems and contradictions that were provoked by the COVID-19 pandemic and the social isolation. The aim of this study is to evaluate emotional attitude of university students of the humanities and natural sciences to distance learning, implemented in the pandemic situation. The presented results of an empirical study reveal the pros and cons of distance learning, the active use of Internet resources by students in learning, and the willingness to rebuild in a changing environment.
© The Authors, published by EDP Sciences, 2020
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.