Distance education during the COVID-19 pandemic: experience at a public university
Carmen Rodríguez-Martínez,
José Alvarez-Solano,
Ariel D. Pérez-Galavís and
Misael Ron
Seminars in Medical Writing and Education, 2023, vol. 2, 32
Abstract:
Objective: Evaluate the performance of distance education in the Accounting and Business Administration programs at a public university during the Covid-19 pandemic. Methods: A quantitative, field, observational, descriptive, and cross-sectional research was conducted based on the positivism paradigm. The sample consisted of 23 professors, and was obtained through a non-probabilistic, intentional sampling. All participants met the inclusion criteria. Results: The study results indicate that the contents achieved the intended objectives, adhered to the set timeline, and remained current. Nonetheless, 57% of the professors reported poor attendance in virtual sessions, leading to incomplete coverage of subject´s content. 100% of participants had access to a computer, while 70% reported having good Internet connectivity. The virtual classroom was the most frequently used communication tool (61%), followed by WhatsApp (5%). Conclusion: Based on the evaluation of instructional time, professor-student communication, and student participation, the distance education process was deemed appropriate. On the other hand, professors reported differences in the use of instructional strategies, institutional resources, and learning assessment
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:dbk:medicw:v:2:y:2023:i::p:32:id:32
DOI: 10.56294/mw202332
Access Statistics for this article
More articles in Seminars in Medical Writing and Education from AG Editor (Argentina)
Bibliographic data for series maintained by Javier Gonzalez-Argote ().