Issue |
E3S Web Conf.
Volume 347, 2022
2nd International Conference on Civil and Environmental Engineering (ICCEE 2022)
|
|
---|---|---|
Article Number | 05007 | |
Number of page(s) | 7 | |
Section | Disaster and Construction Management | |
DOI | https://doi.org/10.1051/e3sconf/202234705007 | |
Published online | 14 April 2022 |
E-learning versus face-to-face civil and environmental engineering education: A case study of the COVID-19 pandemic
Civil and Environmental Engineering Department, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, Malaysia
* Corresponding author: abdul_19000967@utp.edu.my
The Malaysian Government implemented a countrywide lockdown due to COVID-19, which also affected the educational institutes. Under these circumstances, the e-learning educational strategy was initiated for the resuming of educational activities. A need for the study was devised and performed to assess the students’ perspective on this transition from face-to-face learning to e-learning for the effective implementation of the system. Students’ feedback data was evaluated for the January 2020 semester, which was collected before the pandemic and the September 2020 semester, which was collected during the pandemic by the end of the semester. Both data were analysed by adopting parametric Student’s t-test and non-parametric Mann-Whitney U test. Overall, it is concluded that students were comfortable with the e-learning educational system. However, the effectiveness of the e-learning system is dependent on the course type and requirements. This study will help the instructors to evaluate and improve their teaching strategy for the e-learning educational system by the preview of students for the deficiencies, in comparison to face-to-face learning, as the current lockdown situation is uncertain due to the COVID-19 pandemic.
© The Authors, published by EDP Sciences, 2022
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.