Factors Influencing Post-COVID-19 Virtual Education and Its Impact on University Students: Analysis Using Structural Equation Models

Autor:	Roberto Carlos Valdés Hernández, Lizeth Armenta Zazueta, Juan Gabriel López Hernández, Vidblain Amaro Ortega
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	structural equations virtual education ICT post-COVID-19 university students Social Sciences
Zdroj:	Social Sciences, Vol 12, Iss 11, p 605 (2023)
Druh dokumentu:	article
ISSN:	2076-0760
DOI:	10.3390/socsci12110605
Popis:	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).
Databáze:	Directory of Open Access Journals
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