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DOI: 10.14569/IJACSA.2021.0120926
PDF

A Comprehensive Framework for Big Data Analytics in Education

Author 1: Ganeshayya Shidaganti
Author 2: Prakash S

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 9, 2021.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: With the adoption of cloud services for hosting knowledge delivery system in educational domain, there is a surplus quantity of education data being generated every day by current learning management system. Such data are associated with certain typical complexities that impose significant challenges for existing database management and analytics. Review of existing approaches towards educational data highlights that they do not offer full-fledged solution towards analytics and still there is an open-end problem. Therefore, the proposed system introduces a comprehensive framework which offers integrated operation of transformation, data quality, and predictive analytics. The emphasis is more towards achieving distributed analytical operation towards educational data in cloud. Implemented using analytical research methodology, the proposed system shows better analytical performance with respect to frequently used educational data analytical approaches.

Keywords: Big data; data analytics; educational big data; predictive analytics; text mining; machine learning; education technology

Ganeshayya Shidaganti and Prakash S, “A Comprehensive Framework for Big Data Analytics in Education” International Journal of Advanced Computer Science and Applications(IJACSA), 12(9), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120926

@article{Shidaganti2021,
title = {A Comprehensive Framework for Big Data Analytics in Education},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120926},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120926},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {9},
author = {Ganeshayya Shidaganti and Prakash S}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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