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Using Big Data to Improve the Educational Infrastructure and Learning Paradigm

Using Big Data to Improve the Educational Infrastructure and Learning Paradigm

Areej Fatemah Meghji, Naeem A. Mahoto
Copyright: © 2016 |Pages: 24
ISBN13: 9781522501824|ISBN10: 1522501827|EISBN13: 9781522501831
DOI: 10.4018/978-1-5225-0182-4.ch011
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MLA

Meghji, Areej Fatemah, and Naeem A. Mahoto. "Using Big Data to Improve the Educational Infrastructure and Learning Paradigm." Effective Big Data Management and Opportunities for Implementation, edited by Manoj Kumar Singh and Dileep Kumar G., IGI Global, 2016, pp. 158-181. https://doi.org/10.4018/978-1-5225-0182-4.ch011

APA

Meghji, A. F. & Mahoto, N. A. (2016). Using Big Data to Improve the Educational Infrastructure and Learning Paradigm. In M. Singh & D. G. (Eds.), Effective Big Data Management and Opportunities for Implementation (pp. 158-181). IGI Global. https://doi.org/10.4018/978-1-5225-0182-4.ch011

Chicago

Meghji, Areej Fatemah, and Naeem A. Mahoto. "Using Big Data to Improve the Educational Infrastructure and Learning Paradigm." In Effective Big Data Management and Opportunities for Implementation, edited by Manoj Kumar Singh and Dileep Kumar G., 158-181. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-5225-0182-4.ch011

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Abstract

In higher education, the demand for improved information in relation to educational and learning outcomes is greater than ever before. Leveraging technology, new models of education have emerged that are not only improving modes of lecture delivery and information retention, but also generating huge amounts of data. This data is potentially a gold mine that needs to be explored to uncover patterns associated with student behavior and how information is processed, retained and used by the students. This chapter proposes a generic model that uses the techniques of educational data mining to explore and analyze Big Data being generated by the education sector. This chapter also examines the various questions that can be answered using educational data mining methods and how the discovered patterns can be used to enrich the learning experience of a student as well as help teachers make pedagogical decisions.

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