The E-Learning Divide: Assessing the Impact of Online Learning Methods on Students from Diverse Backgrounds in Higher Education Post-Pandemic
Introduction: This study investigates how students' e-learning experiences during the COVID-19 pandemic shaped their perceptions regarding the continued use of e-learning as an educational system in the post-pandemic era. Methods: A descriptive-analytical method was employed, utilizing an electronic questionnaire distributed to students at the Faculty of Information Technology at the University of Benghazi and the Libyan International Medical University (LIMU). The questionnaire focused on five key areas: e-learning accessibility, e-content effectiveness, teaching effectiveness in e-learning, e-learning interactivity, and e-assessment effectiveness. The collected data was statistically analyzed. Results: The analysis revealed promising results that highlighted various issues, challenges, and advantages associated with using e-learning systems as an alternative to traditional higher education. Discussion: These findings underscore the significant impact of pandemic-era e-learning on student perceptions, providing insights into the potential for integrating e-learning within higher education going forward. Conclusion: The study's key findings indicate that students' experiences with e-learning during the pandemic have significantly influenced their views on its future role in education, revealing both challenges and opportunities for its adoption in higher education.
Authors
- Abdelsalam M. Maatuk (ORCID: https://orcid.org/0000-0001-9133-8389)
- Ebitisam K. Elberkawi (ORCID: https://orcid.org/0000-0002-1751-0176)
- Shadi Aljawarneh
- Marwa F. Gebril
- Malak M. Eshlak
- Mansoura S. Ghandour
Institutions
- University of Jordan (JO)
- Jordan University of Science and Technology (JO)
- University of Benghazi (LY)
Publication Details
- Journal
- Current Computer Science
- Published
- 2025-11-11
- DOI
- https://doi.org/10.2174/0129503779375295251025140438
- Primary Topic
- Online and Blended Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00