Confinement, an e-learning booster
Changes study in content e-learning consumption and causality analysis trough a Bayesian Network
DOI:
https://doi.org/10.37467/revvisual.v9.3774Keywords:
Confinement, YouTube, Education, E-learning, Bayesian Networks, COVID-19Abstract
The confinement has been one of the measures adopted to mitigate the effects of Covid-19 with the greatest effect on society, such as changes in the consumption of content e-learning due to their need to acquire new knowledge. The objective is to establish causal links between periods of confinement and the growth of consumption of e-learning resources. Data on the use of a e-learning channel have been taken and Bayesian Network have been used as a methodological instrument. The results confirm this causal relationship. It shows lines of cause-effect research that could improve e-learning content attending on the user behavior.
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