
doi: 10.3390/su13052478
The COVID-19 pandemic forced many universities to close doors and keep students completely online—a phenomenon that raised unprecedented challenges with lessons learned that should be integrated into future educational knowledge management strategies and practices. Special attention should be given to students’ learning habits. This paper presents the results of a semi-systematic literature review on the research problem and a survey of a sample of business students regarding their learning habits and preferences. Learnings of the research can be useful for the transition to an entirely online distance education, integrated in the framework of knowledge management strategies regarding e-learning in universities. The primary quantitative research was conducted before the start of the lockdown, and the results give useful insights that can be translated into mandatory elements for any strategy designed to assure a smooth and effective passage from in-class education to online teaching and learning. Students’ pre-epidemic learning habits, their use of communication tools and their preferences for solutions usable in distance education, with a special focus on gender and education level, have been investigated. Results are correlated in the paper with possible knowledge management strategies in universities as part of an approach with both academic and practical implications.
e-learning systems, educational knowledge management, online learning, business education
e-learning systems, educational knowledge management, online learning, business education
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
