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.

The use of social networks, usefulness and ease of use, enjoyment through positive emotions and their influence on school satisfaction mediated by school achievement

The purpose of this study was to establish the relationship between the use of social networks, usefulness and ease of use, enjoyment through positive emotions and their influence on school satisfaction mediated by school achievement. The investigation was carried out in a state of social isolation due to the presence of Covid-19. The sample for the study consisted of 108 students from the 3rd to the 5th year of studies at the secondary education level of a public educational institution in the Arequipa region in Peru. The methodology that was used had two well-defined phases, firstly, an Exploratory Factor Analysis (EFA) was carried out, this analysis had the objective of condensing the information in original variables to smaller series, secondly, an Analysis Confirmatory Factorial (AFC), through the modelling of structural equations based on variances, called PLS-SEM. It is concluded that the proposed structural model, which uses school achievement as a mediation variable, is explained from its variance in 81.6%, and the factorial load it exerts on the dependent variable such as school satisfaction is significant and decisive.

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.

The use of social networks, usefulness and ease of use, enjoyment through positive emotions and their influence on school satisfaction mediated by school achievement

The purpose of this study was to establish the relationship between the use of social networks, usefulness and ease of use, enjoyment through positive emotions and their influence on school satisfaction mediated by school achievement. The investigation was carried out in a state of social isolation due to the presence of Covid-19. The sample for the study consisted of 108 students from the 3rd to the 5th year of studies at the secondary education level of a public educational institution in the Arequipa region in Peru. The methodology that was used had two well-defined phases, firstly, an Exploratory Factor Analysis (EFA) was carried out, this analysis had the objective of condensing the information in original variables to smaller series, secondly, an Analysis Confirmatory Factorial (AFC), through the modelling of structural equations based on variances, called PLS-SEM. It is concluded that the proposed structural model, which uses school achievement as a mediation variable, is explained from its variance in 81.6%, and the factorial load it exerts on the dependent variable such as school satisfaction is significant and decisive. © 2022 IEEE Computer Society. All rights reserved.

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.