Analysis of information technologies and strategies in academic performance during the COVID-19 pandemic

Abstract

The main objective of this study was to analyze digital academic factors that increase academic performance during the COVID-19 pandemic. Technological factors that increase average grades in online classes were determined through a multiple linear regression model. The results showed that the factors that obtained the highest values in the coefficients of the predictive model were: classes by mail, development of case study projects, digital presentations, and links to the internet suggested by the teacher. Other factors that also improved academic performance were: the subject, classes by teams, computer, access to IT (information technologies), explaining of topics, videos, evaluations, and notes. It is concluded that the academic performance of students in times of the COVID-19 pandemic depends on the digital tools that students have access to and use.