Ease of use and perceived usefulness and its influence on motivation, collaboration and behavioral intention in university students in times of Covid-19

The purpose of this study was to test the relationship of influence of ease of use and perceived usefulness on motivation, collaboration, and behavioral intention in university students in times of Covid-19. The methodology used for the study corresponds to a non-experimental investigation, a questionnaire was applied to a convenience sample of 530 university students (n=19;α=0.944 ω=0.946), using Factor Exploratory and Confirmatory Analysis as tests of validity and reliability, through the Modeling of Structural Equations of Partial Least Squares PLS-SEM. The results have shown that there is a positive effect of causality of perceived ease of use on student collaboration, student motivation and perceived usefulness;in the same way, there exists a causal relationship between the perceived usefulness and the student's collaboration, the intention of the behavior and the student's motivation. Contrarily, there would not be an influence relationship between perceived ease of use on behavioral intention in university students in a context of Covid-19. © 2022 IEEE.

Factors Influencing Psychological Distress Mediated by E-Learning Courses in Times of Covid-19

The main objective of this research is to determine the influence of factors associated with psychological distress, such as the personal impact of e-learning, depression, and computer anxiety on the student, mediated by the courses in the methodology of e-learning in times of Covid-19. The methodology used for the study corresponds to a non-experimental investigation;the questionnaire was applied to a convenience sample of 397 university students (n = 41;α = 0.971 ω = 0.971), using validity and reliability tests, exploratory and confirmatory factor analysis through structural equation modeling of partial least squares (PLS-SEM). The results have shown a statistically significant effect between the student's computer anxiety and psychological distress, e-learning and depression and e-learning courses. While e-learning and depression establish, a statistically significant relationship in the individual impact of e-learning and psychological distress;while there is a significant influence relationship between e-learning and depression and the individual impact of e-learning and psychological distress. On the contrary, e-learning and depression do not influence, according to the study, e-learning courses;likewise, the individual impact of e-learning on psychological distress. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Influential factors in knowledge management in the acceptance of M-learning in university students

The purpose of the research was to establish the influence of the factors in knowledge management in the acceptance of M-learning in university students in times of covid-19. The study consisted of two stages;the first was an exploratory factor analysis, which allowed the instrument to be validated and homologated. The second stage consisted of carrying out a confirmatory analysis by validating a structural model based on variances called modelling of structural equations of partial minimum squares PLS-SEM, whose results determined that the most influential factors in the application of knowledge are perceived ease of use, knowledge sharing, and perceived utility of the model (TAM);not like this, the intention of behavioural use, that does not influence the application of knowledge. This hypothesis would not be tested regarding the level of influence that the application of knowledge would have on the actual use of the system. The research was carried out with 150 students from a private university in Peru.

Influential factors in knowledge management in the acceptance of M-learning in university students

The purpose of the research was to establish the influence of the factors in knowledge management in the acceptance of M-learning in university students in times of covid-19. The study consisted of two stages;the first was an exploratory factor analysis, which allowed the instrument to be validated and homologated. The second stage consisted of carrying out a confirmatory analysis by validating a structural model based on variances called modelling of structural equations of partial minimum squares PLS-SEM, whose results determined that the most influential factors in the application of knowledge are perceived ease of use, knowledge sharing, and perceived utility of the model (TAM);not like this, the intention of behavioural use, that does not influence the application of knowledge. This hypothesis would not be tested regarding the level of influence that the application of knowledge would have on the actual use of the system. The research was carried out with 150 students from a private university in Peru. © 2022 IEEE Computer Society. All rights reserved.