Factores que potencializan la educación virtual en una etapa Post-Covid

Arturo Amaya Amaya; Daniel Cantú Cervantes; Jorge Arturo Hernández Almazán

doi:10.30827/relieve.v30i2.27503

Authors

Arturo Amaya Amaya Autonomous University of Tamaulipas https://orcid.org/0000-0002-6614-4256
Daniel Cantú Cervantes Autonomous University of Tamaulipas
Jorge Arturo Hernández Almazán Victoria Polytechnic University

DOI:

https://doi.org/10.30827/relieve.v30i2.27503

Keywords:

Distance Education, Student, Online Learning, Pandemic, COVID-19

Abstract

The objective of this research was to identify the factors with the highest incidence that potentiated virtual education at the Autonomous University of Tamaulipas during the Covid-19 pandemic. We worked on a quantitative approach with a descriptive transactional design with a correlational scope due to the analytical approach and types of data used. The Satisfaction, Interaction, Self-sufficiency and Self-regulated Learning scale in virtual courses of Kuo et al. (2014), was used. Which analyzes: Student-student interaction, Student-instructor interaction, Student-content interaction, Self-efficacy in the use of the Internet, Self-regulated Learning and Satisfaction Satisfaction about the virtual course. The results showed that most of the students (stratified sample n = 3604, Age M = 20.49, SD ± 0.552, Min = 18, Max = 28) presented high levels of satisfaction in the online courses and more than 80% of the participants expressed their willingness to continue studying under the virtual modality. The factors of self-efficacy in the use of the Internet and the interaction of the student-instructor showed positive and significant correlations (p < 0.05) with respect to student satisfaction under the virtual modality, in addition, the older participants presented more satisfaction than the younger subjects younger. On the other hand, the gender of the participants, their employability status and their age range no show significant differences (p > 0.05) as to scores obtained.

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Author Biographies

Arturo Amaya Amaya, Autonomous University of Tamaulipas

Research Professor of Distance Education at the Autonomous University of Tamaulipas. He belongs to the National System of Researchers of CONACYT and has the PRODEP Profile certification from the Ministry of Public Education of Mexico. He has a Doctor in International Education with a specialty in Educational Technology; He has an MBA with a specialty in Information Systems Administration; as well as the Master in Big Data & Business Intelligence and the Master in Big Data & Organizational Intelligence. He has more than 20 years of experience in Distance Education Models and Data Analytics for Higher Education. His academic production consists of 6 books, 16 indexed articles and 14 book chapters. He is an evaluator of SCOPUS and JCR indexed journals on Educational Innovation and Distance

Daniel Cantú Cervantes, Autonomous University of Tamaulipas

Doctor of Education Ph D from the University of Baja California. Member of the National System of Researchers. Full-time Research Professor with Desirable Profile PRODEP of the Autonomous University of Tamaulipas. His lines of research are neuroscience for learning and behavior. His most recent research works are: "Introduction to Human Memory, from Perspectives of Neuroscience and Learning" and "Classical Neuromyths in Education: studies from the Perspectives of Neuroscience and Learning"

Jorge Arturo Hernández Almazán, Victoria Polytechnic University

He was born in Ciudad Mante, Tamaulipas, Mexico in 1983. He received a B.S. degree in computer systems engineering from the Technological Institute of Ciudad Victoria, Tamaulipas, Mexico, in 2006, a Master's degree in computer systems from Da Vinci University, CDMX, Mexico, in 2012, and a Ph.D. in knowledge management and transfer from the Autonomous University of Tamaulipas, Mexico, in 2019. He is currently a Full Professor at the Polytechnic University of Victoria. His research interests include knowledge management, interoperability, application of information technologies and big data.

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