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

Autores

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

Palavras-chave:

Ensino à distância, Estudante, Aprendizagem online, Pandemia, COVID-19

Resumo

O objetivo desta investigação foi identificar os fatores de maior impacto na educação virtual na Universidade Autónoma de Tamaulipas, durante a pandemia de Covid-19. Trabalhámos numa abordagem quantitativa com design transversal descritivo com âmbito correlacional devido à abordagem analítica e aos tipos de dados utilizados. Utilizou-se a escala de Satisfação, Interação, Autoaprendizagem e Aprendizagem Autorregulada em cursos virtuais de Kuo et al. (2014), que analisa: Interação estudante-estudante, Interação estudante-instrutor, Interação estudante-conteúdo, Autoeficácia no uso de Internet, Aprendizagem autorregulada e Satisfação em relação ao curso virtual. Os resultados mostraram que a maioria dos estudantes (amostra estratificada n = 3604, Idade M = 20,49, DP ± 0,552, Mín. = 18, Máx. = 28) apresentou níveis elevados de satisfação nos cursos online e mais de 80% dos participantes manifestaram a sua disposição para continuar a estudar na modalidade virtual. Os fatores de autoeficácia na utilização da Internet e na interação do estudante-instrutor apresentaram correlações positivas e significativas (p < 0,05) relativamente à satisfação dos estudantes na modalidade virtual, tendo os participantes mais velhos demonstrado maior satisfação do que os mais novos, independentemente do seu estatuto de empregabilidade em paralelo com a sua escolaridade. Por outro lado, não foram encontradas diferenças significativas (p > 0,05) entre o género, o estatuto de empregabilidade e a faixa etária dos participantes no que diz respeito às pontuações obtidas.

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Biografias Autor

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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