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DOI: 10.14569/IJACSA.2019.0100640
PDF

Big Data Technology-Enabled Analytical Solution for Quality Assessment of Higher Education Systems

Author 1: Samiya Khan
Author 2: Xiufeng Liu
Author 3: Kashish Ara Shakil
Author 4: Mansaf Alam

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 6, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Educational Intelligence is a broad area of big data analytical applications that make use of big data technologies for implementation of solutions for education and research. This paper demonstrates the designing, development and deployment of an educational intelligence application for real-world scenarios. Firstly, a quality assessment framework for higher education systems that evaluate institutions on the basis of performance of outgoing students was proposed. Secondly, big data enabled technological setup was used for its implementation. Literature was surveyed to evaluate existing quality frameworks. Most existing quality assessment systems take into account the dimensions related to inputs, processes and outputs, but they tend to ignore the perspective that assesses the institution on the basis of outcome of the educational process. This paper demonstrates the use of outcome perspective to compute quality metrics and create visual analytics. In order to implement and test the framework, R programming language and a cloud based big data technology that is Google, BigQuery were used.

Keywords: Education big data; educational intelligence; educational technology; higher education; quality education

Samiya Khan, Xiufeng Liu, Kashish Ara Shakil and Mansaf Alam, “Big Data Technology-Enabled Analytical Solution for Quality Assessment of Higher Education Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 10(6), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100640

@article{Khan2019,
title = {Big Data Technology-Enabled Analytical Solution for Quality Assessment of Higher Education Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100640},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100640},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {6},
author = {Samiya Khan and Xiufeng Liu and Kashish Ara Shakil and Mansaf Alam}
}



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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