The virtual teaching process and academic self-efficacy in learning and the intention to drop out university studies in times of Covid-19

The purpose of this study was to test the relationship between academic self-efficacy, learning self-efficacy, the teaching-learning process, student-teacher interaction, mediated by learning self-efficacy and the level of influence on students' intention to drop out. university students in times ofCovid-19. The study comprises two phases, firstly, an exploratory factor analysis using the IBM-SPSS, to determine the correct adaptation of the factors with their corresponding items, secondly, the confirmatory analysis was carried out, for the validation of the structural model proposed and establish the relationships of the factors proposed in the model, the PLS-SEM methodology, Modeling of Structural Equations with Partial Least Squares, was used. The model was validated with a sample of 230 students in a private university in Peru and is explained by the determination coefficient R2 in 51.9%, so it is inferred that there are other latent factors or variables that would explain the intention dropout in university students by 48.1%. © 2021 IEEE.

The role of the use of digital information in the performance and collaboration of university students in extreme economic situation

The purpose of this study was to test the relationship between the use of digital information in the performance and collaboration of university students, in extreme economic situation in Peru in a public university, the study makes an approach to different factors related to information management and its relationship with student satisfaction and loyalty, through the Household Targeting System (SISFOH) of the Ministry of Education (MINEDU), which qualifies university students as poor and / or in extreme poverty, to be benefited by the mobile internet access service program in 3G and 4G. The study comprises two phases, firstly, an exploratory factor analysis using IBM-SPSS, secondly, for confirmatory analysis, The PLS-SEM methodology, Modeling of Structural Equations with Partial Least Squares, was used. The model was validated with a sample of 233 students at a public university. The study would reveal a causal relationship of the different factors of the structural model, based on the different behaviors of digital information that university students experience in times of quarantine as a preventive measure to avoid contagion by Covid-19. © 2021 IEEE.