TY - GEN
T1 - The virtual teaching process and academic self-efficacy in learning and the intention to drop out university studies in times of Covid-19
AU - Gutierrez-Aguilar, Olger
AU - Bautista-Lopez, Juliana
AU - Sanchez-Meza, Estefany
AU - Falcon-Huamani, Ruth
AU - Condori-Surco, Yuma
AU - Tomaylla-Quispe, Ygnacio
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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%.
AB - 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%.
KW - academic self-efficacy
KW - Covid-l9
KW - Dropout intention
KW - learning self-efficacy
KW - PLS-SEM
KW - virtual teaching process
UR - http://www.scopus.com/inward/record.url?scp=85127199111&partnerID=8YFLogxK
U2 - 10.1109/LACLO54177.2021.00046
DO - 10.1109/LACLO54177.2021.00046
M3 - Conference contribution
AN - SCOPUS:85127199111
T3 - Proceedings - 2021 16th Latin American Conference on Learning Technologies, LACLO 2021
SP - 376
EP - 382
BT - Proceedings - 2021 16th Latin American Conference on Learning Technologies, LACLO 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th Latin American Conference on Learning Technologies, LACLO 2021
Y2 - 19 October 2021 through 21 October 2021
ER -