Correlational analysis of incident factors in the academic performance of university higher education students under the context of COVID-19

Alarcon Roger, Aquino Janet, Bravo Jessie, Valdivia Carlos

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

The COVID-19 pandemic changed the teaching modality radically, which led to virtual education in institutions, which had to quickly adapt as well as students. The research was carried out with a non-experimental, descriptive and correlational quantitative approach, applied to a sample of 1804 students from a public university, two statistical studies were carried out, one supported by the academic database and the second through the application of a validated instrument to identify which factors have the greatest influence on the academic performance of students in the virtual modality. In the statistical analysis, it was found that academic performance improved in the virtual semester with respect to the face-to-face one; demographic factors: gender, age, study cycle, and career groups had a significant influence on academic performance. Finally, no significant influence was found between the technological and methodological dimensions with the academic performance of the virtual semester.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2021 IEEE 1st International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665407052
DOI
EstadoPublicada - 2021
Evento1st IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2021 - Lima, Perú
Duración: 16 dic. 202118 dic. 2021

Serie de la publicación

NombreProceedings of the 2021 IEEE 1st International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2021

Conferencia

Conferencia1st IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2021
País/TerritorioPerú
CiudadLima
Período16/12/2118/12/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

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