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Factors Influencing Post-Covid-19 Virtual Education and Its Impact on University Students

Analysis Using Structural Equation Models

Datos Bibliográficos

ID13026045
AutoresRoberto Carlos Valdés Hernández (0000-0001-9612-5526, Universidad Autónoma de Baja California), Lizeth Armenta Zazueta (0000-0002-9073-2461, Sonora Institute of Technology), Juan Gabriel López Hernández (Universidad Autónoma de Baja California), Víctor Acuña Ortega (0000-0002-3199-762X, Universidad Autónoma de Baja California)
Año2023
Volumen12
Número11
Páginas605-605
Fecha de publicación2023-10-30
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocial Sciences (JOURNAL)
Identificadores de la revistaISSN: 2076-0760 • E-ISSN: 2076-0760
EditorialMDPI AG (PUBLISHER • IT)
DOI10.3390/socsci12110605
OpenAlexW4388107746
IdiomaEN
Referencias citadas27

The transcendence of the COVID-19 pandemic in education has transformed the way students use information and communication technologies (ICT) to take virtual classes since the closure of universities, so this research aims to describe how students in the School of Administrative Sciences at the Autonomous University of Baja California use ICT in times of COVID-19 to take their classes. The results obtained show that ICT management directly and indirectly influences students’ collaborative work, and in a direct way, the responsible use of ICT in the teaching–learning process. It also includes a construct validation of the ICT factor in the teaching–learning process and COVID-19 by means of confirmatory factor analysis (CFA), an analysis procedure in structural equation modeling (SEM)

Closure (psychology · Confirmatory factor analysis · Construct (python library · Coronavirus disease 2019 (COVID-19 · Higher education · Information and Communications Technology · Knowledge management · Mathematics education · Pandemic · Political science · Process (computing · Structural equation modeling · Work (physics · Computer Science · Digital literacy in education · E-Learning and Knowledge Management · Educational Innovations and Technology · Engineering · Medicine · Psychology

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