RESUMO

This research examines the perception of undergraduate students of public and private universities in Latin America on the quality of the lessons that applied the emergency remote teaching (ERT) in the time of COVID-19. This study employs a mixed sequential approach, starting with six focal groups, and finishing with a quantitative validation exercise that uses exploratory and confirmatory factor analysis as well as regression models. Findings reveal that student perception is elicited along three dimensions: concerns related to academic quality, teaching strategies applied by professors, and access limitations. Moderation analysis shows that the relationship between teaching strategies and the concerns related to academic quality varies and that it even gets stronger when access limitations are reduced. Consequently, perception is limited by student access to maintain the teaching-learning process.

Assuntos

COVID-19 , Humanos , América Latina/epidemiologia , Percepção , Estudantes , Universidades

RESUMO

Emergency remote education (ERD) adopted by universities amidst the COVID-19 pandemic has pursued to maintain students' satisfaction. The current research inquiries into perception of the satisfaction towards the quality of classes during ERD. The research is carried out through a mixed sequential approach. Six focus groups in its qualitative phase, and 2074 students from the business undergraduate program in Colombia, Peru, and Mexico in its quantitative phase. Measure of satisfaction towards ERD establishes three dimensions: Concerns about academic quality, teaching strategies used by professors, and perceptions of access limitations. This study identifies a moderating effect of the perceptions of access limitations on the relationship of the teaching strategies and concerns about academic quality. In high constraints, =.-016, p < 0.0001, the relationship is weaker than medium constraints, = -0.22, p < 0.0001. In turn, the medium access limitation condition shows a weaker effect than the high limitation condition, = -0.28, p < 0.0001.