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Big Data Analytics Approach in Education

Explore –Journal of Research

                                    Peer Reviewed Journal

     ISSN 2278–0297 (Print)

                                                                                                ISSN 2278–6414 (Online)

                Vol. XIV No. 2, 2022

© Patna Women’s College, Patna, India


Big Data Analytics Approach in Education

•    Satya      •  Prasanna Jha

Received                                   : April 2022

Accepted                                   : May 2022

Corresponding Author   : Satya      

Abstract : This chapter introduces our readers to big educational data and how that data may be analyzed to give insights into many stakeholders and empower data-driven decisions regarding educational quality improvement. We present different techniques and popular applied scientific methods for data analysis and manipulation, such as analytics and other analytical approaches such as learning, academic, and visual analytics for the research and exploitation of big educational data and examples of how these techniques and methods could be used. The notion of educational quality enhancement is offered in connection to

two factors: (a) to improve science and its influence on various processes in education such as learning, education, and academic processes, and (b) as a result, we introduce our readers to the idea of extensive educational data and how such data may be analyzed to offer insights into the practical application and execution of the analytical principles provided. The setting of health professions education is utilized to illustrate the various principles.

Keywords : Big data, educational data, data-driven decisions, data analytics, learning analytics


MCA Student

Amity Institute of Information Technology

Amity University, Patna



Prasanna Jha

Asst. Professor

Amity Institute of Information Technology

Amity University, Patna