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RIDE. Revista Iberoamericana para la Investigación y el Desarrollo Educativo
On-line version ISSN 2007-7467
Abstract
CANO IBARRA, Salustia Teresa; GARZA CARRANZA, María Teresa de la; GONZALEZ FARIAS, José Porfirio and GALVAN MORALES, Patricia. University Student Perception of Online Courses Implemented by COVID-19 Contingency. A Model of Structural Equations. RIDE. Rev. Iberoam. Investig. Desarro. Educ [online]. 2022, vol.12, n.24, e029. Epub May 23, 2022. ISSN 2007-7467. https://doi.org/10.23913/ride.v12i24.1169.
The objective of this research was to validate the perception model of university students about online education that was developed in an emergent way due to the COVID-19 pandemic situation. It was a quantitative study that included an exploratory factor analysis (EFA), which yielded three factors that explain 71% of the variance. The internal consistency of the scale was adequate: a Cronbach's alpha of 0.938. To ratify the model obtained in the EFA, a confirmatory factor analysis (CFA) was carried out in which 595 undergraduate students from the Tecnológico Nacional de México in Celaya participated, divided into two groups. The results indicate that the final structural equation model complies with all the fit indices and, therefore, that the final measurement instrument is stable. Based on the validated model, it was possible to ensure that, according to the students' perception, there were no major problems adapting to online courses and no serious connectivity and technology problems were detected, but they miss interacting with teachers and classmates. In addition, they stated that the way in which the teacher designs and develops the course is fundamental to achieving their academic success and they considered that the teacher's feedback is a very valuable action that strengthens knowledge.
Keywords : confirmatory factor analysis; exploratory factor analysis; structural equations; online learning assessment.