Abstract

Big data is employed in widely different fields; we here study how education uses big data. We review the literature of the research about big data in education in the time interval from 2010 to 2020 then review the process of big educational data mining, the tools, and the applications of big data in education. This paper, with the help of these applications, explores the idea to improve the education process. Two methods are applied to validate education process and many parameters are discussed to complete the research.

Highlights

  • Big data is related to a large amount of data, but it is more than the only size it is characterized by four Vs: volume, variety, velocity, and veracity

  • This study has reviewed only a few numbers of available articles, on the time interval between 2010 to 2019, there is a need for a systematic study of literature on the big data in education and learning

  • They review the literature to define the Benefits of Educational Data Mining (EDM) and learning analytics (LA) and the Value of Big Data in Education

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Summary

Introduction

Big data is related to a large amount of data, but it is more than the only size it is characterized by four Vs: volume, variety, velocity, and veracity. Velocity refers to the speed of generating and processing data [2]. Big data can be applied to many fields such as healthcare, administration, or security. It can revolutionize intelligence in transport, energy, financial, and education [4], which is what we intend to study here. According to [9] up to 2016, there was increasing in several articles that study the big data in education up to 50%, and since the number has fallen an average of 6%, so there is a need to do more researches in this field. This research aims to review big data applications in education. We summarize the applications they applied to big data on the education filed

Related Work
Methodology
Big Educational Data
Big educational data mining process
Educational data mining stakeholders
Researchers
Data mining tools
Applications of Big Educational Data
Data visualization
Providing smart feedback
Big data provide insights and recommendations
Conclusion
Findings
Authors
Full Text
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