Big Data Analytics Model for the Education Sector
Bhavin D. Shah1, D. B. Choksi2
1Bhavin D. Shah*, CSE Dept. Nirma Institute of Technology, Ahmedabad, Gujarat, India.
2D. B. Choksi, PG Dept. of Comp.Sci., Sardar Patel University, Vallabh Vidyanagar, Gujarat, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1785-1789 | Volume-8 Issue-12, October 2019. | Retrieval Number: L28341081219/2019©BEIESP | DOI: 10.35940/ijitee.L2834.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With an array of innovative technologies, the 21st century has struck at our door. Many sectors are embracing the implementation of a revolutionary technology called Big Data Analytics. The education sector has lately jumped on the bandwagon. With the new evolving education technology capable of generating Big Data, stakeholders have firmly started adopting the use of Big Data Analytics in the education sector. This paper proposes a model for Big Data Analytics depicting various required components, for the education sector. Various sources of education data provide the necessary input to the model and model produces useful results in the form of the output using various tools and technologies of Big Data ecosystem. The outputs are going to be consumed by various stakeholders of the education sector. The paper also describes the concept of Big Data, new technologies influencing the education sector and explains why Big Data Analytics is going to be core technology in analyzing the data and taking the world of education to new heights. We have also listed beneficiaries and benefits.
Keywords: Big Data Analytics, Educational Data Mining, Higher Education, Learning Analytic
Scope of the Article: Data Mining