E3S Web Conf.
Volume 244, 2021XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|Number of page(s)||7|
|Section||Energy Management and Policy|
|Published online||19 March 2021|
Education policy: the impact of e-learning on academic performance
1 Russian Presidential Academy of National Economy and Public Administration, South-Russian Institute of Management, Rostov-on-Don, Russia
2 Moscow Aviation Institute (National Research University), Moscow, Russia
3 Don State Technical University, Rostov-on-Don, Russia
* Corresponding author: firstname.lastname@example.org
The high use of web systems in learning implies that e-learning is becoming a common successful learning method in wider academic contexts. In order to enhance and support schooling and literacy, e-learning includes leveraging information and communication technology (ICT). The purpose of the analysis was to determine the correlation between e-learning and the academic achievement of students in higher learning. A set of 150 author’s observational studies, carried in Russian educational institutions (both in the period before and during the COVID-19pandemic), was used to measure findings using Cohen’s formula focused on a rigorous sampling method. The findings of the equation (= 0.712) reveal that ICT has a major statistically favourable effect on the academic success of students in elearning. The results suggest that ICT has a substantial positive effect on the total success of students in universities.
© 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.