Abstract

Currently, education is going through a critical moment due to the 2019 coronavirus disease that has been declared a pandemic. This has forced many organizations to undergo a significant transformation, rethinking key elements of their processes and the use of technology to maintain operations. The continuity of education has become dependent on technological tools, as well as on the ability of universities to cope with a precipitous transition to a remote educational model. That has generated problems that affect student learning. This work proposes the implementation of a Big Data framework to identify the factors that affect student performance and decision-making to improve learning. Similar works cover two main research topics under Big Data in education, the modeling and storage of educational data. However, they do not consider issues such as student performance and the improvement of the educational system with the integration of Big Data. In addition, this work provides a guide for future studies and highlights new insights and directions for the successful use of Big Data in education. Real-world data were collected for the evaluation of the proposed framework, the collection of these being the existing limitation in all research due to generalized rejection of data consent.

Highlights

  • IntroductionThe problems that COVID-19 brings with it have been disastrous for society, as it has demonstrated the fragility of human health [1]

  • Society faces a pandemic known as coronavirus disease 2019 (COVID19)

  • These works carry out a review of the most appropriate methods to carry out an analysis of educational data, and for this they generally consider models based on business intelligence (BI)

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Summary

Introduction

The problems that COVID-19 brings with it have been disastrous for society, as it has demonstrated the fragility of human health [1]. With health being affected and the desperation of nations to stop the rapid advance of the pandemic, this has forced their governments to take radical measures on exposure to the virus. There are cases where several companies have stopped working or have definitively closed their activities causing an increase in unemployment. Confinement brings with it problems in people’s social activities, to such an extent that psychological and emotional monitoring has become a necessity to avoid issues such as depression [3]. The component with the greatest impact is learning, since the face-to-face education models when leaving their natural environment did not have the expected impact on students

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