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Big Data Predictive Analytics in Educational Database Systems

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Through computer algorithms, daily face-to-face or online classes knowledge can be transmitted efficiently by improving student performance in knowledge assessments. The critical success factor is a management term for an element necessary for a project to achieve its mission, and it is essential to model and analyze them in big data projects. This document presents a critical framework for success factor analysis for Big Data Predictive Analytics in educational databases defining an appropriate architecture and the availability of data in that order are the main factor. The document concludes with the conclusion and recommendation of future work.

Original languageEnglish
Title of host publicationApplied Human Factors and Ergonomics International
PublisherAHFE International
DOIs
StatePublished - 2021

Publication series

NameApplied Human Factors and Ergonomics International
Volume21
ISSN (Electronic)2771-0718

Bibliographical note

Publisher Copyright:
© 2021, AHFE International. All rights reserved.

Keywords

  • big data
  • educational databases
  • fuzzy decision maps
  • Predictive analytics

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