Influence of Participation and Tardiness to Synchronous Learning Sessions as a Motivation Factor for E-Learning

Ernesto Hernández, Zury Sócola, Lucia Pantoja, Angélica Atoche, Walter Hernández

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

Resumen

A study was made on the attitudes of 76 students of the Food Technology subjects of the Universidad Nacional de Frontera [1], during the 32 virtual sessions that covered the 2020-I academic semester, Covid 19 world pandemic period; in which it was determined that their own inner motivation, which has no weight in the subject, affects the final grade obtained at the end of the semester. The hypothesis asks whether there is a significant relationship between the independent variable called “Intrinsic attitudes” (Number of participations minus number of tardiness), obtaining three levels of variable: positive, neutral or negative, in comparison with the dependent variable called “Final grade”, with two levels of variable: passed or failed. It was determined that the asymptotic sig. value of the pearson chi square of 0.002 less than 0.05 (5% significance level), means that there is dependence between the two variables.

Idioma originalInglés
Título de la publicación alojadaHuman Interaction, Emerging Technologies and Future Applications IV - Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies
Subtítulo de la publicación alojadaFuture Applications, IHIET – AI 2021
EditoresTareq Ahram, Redha Taiar, Fabienne Groff
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas643-649
Número de páginas7
ISBN (versión impresa)9783030732707
DOI
EstadoPublicada - 2021
Evento4th International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2021 - Strasbourg, Francia
Duración: 28 abr. 202130 abr. 2021

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen1378 AISC
ISSN (versión impresa)2194-5357
ISSN (versión digital)2194-5365

Conferencia

Conferencia4th International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET – AI 2021
País/TerritorioFrancia
CiudadStrasbourg
Período28/04/2130/04/21

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