ABSTRACT
The University of Costa Rica has faced the challenge in the last two years of using virtual mechanisms for the development of its courses. The objective of this article is to analyze the experience that the student population lived from the virtualization of courses and the use of technological means given the suspension of face-to-face classes that occurred due to the COVID-19 pandemic during cycles I and II of the year 2020. Likewise, it aims to assess the qualification offered by the student body to the teaching performance in the synchronous and asynchronous remote classes. The results reveal that the experience of virtualization of courses and the teaching performance in this modality was perceived positively by the student population.
ABSTRACT
The Web is essential for education and e-learning. This situation has been boosted by migration to distance education due to the SARS-Co V-2. However, students with disabilities have been seriously affected because online teaching is very often not accessible. For this reason, this research aims to evaluate the accessibility of the homepages of the web portals of the Ecuadorian higher education institutions ranked in the Webometrics with the Web Content Accessibility Guidelines (WCAG) 2.1 of the World Wide Web Consortium. The results obtained determined that the 65 homepages analyzed of the web portals have accessibility errors. Therefore, we concluded that we should adopt the WCAG in the web sites to comply with the Ecuadorian technical regulation RTE INEN 288 'Accessibility for web content.' © 2021 IEEE.
ABSTRACT
Introduction: Currently, the impact of COVID-19 on sociodemographic and obstetric factors, linked to nutritional status and anemia in pregnant women, represents a significant change in management and healthcare paradigms. Objectives: To consider a multiple logistic regression model and multiple comparisons (Mann-Whitney U test) based on sociodemographic-obstetric factors, nutritional status and anemia in pregnant women before and during Covid-19. Methods: In this study, 113 medical records of pregnant women attended between November 2019 and April 2020 at a Hospital II-1 in Trujillo, Peru were analyzed. Multiple logistic regression model showed a good fit and allowed to correctly classify most of pregnant women. Results: The covariates;employment situation, obstetric history, nutritional condition and anemia were significant. Differences were observed between sociodemographic factors such as employment status, obstetric factors such as obstetric history, and factors related to nutritional status and clinical symptoms of anemia. Conclusions: The impact of COVID-19 reflected in the relationships between sociodemographic and obstetric factors with nutritional status and the anemia diagnosed in pregnant women treated in a Hospital II-1 in Trujillo, Peru, was evidenced. ©