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      Big Data And Analytics Implementation In Tertiary Institutions To Predict Students Performance In Nigeria

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      Big Data, Data Science, Analytics, AI, KDD, Students Performance, Nigeria
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            Abstract

            The term ‘Big Data’ has been coined to refer to the gargantuan bulk of data that traditional data handling techniques cannot deal with. Big Data is still a novel concept, and in the following literature, we intend to elaborate on it palpably. It commences with the concept of the subject in itself, along with its properties and the two general approaches to dealing with it. Big Data provides an opportunity for educational Institutions to use their Information Technology resources strategically to improve educational quality, guide students to higher completion rates, and improve student persistence and outcomes. This paper explores the attributes of big data that are relevant to educational institutions, investigates the factors influencing the adoption of big data and analytics in learning institutions, and seeks to establish the limiting factors hindering the use of big data in Institutions of higher learning. A survey research design was adopted in conducting this research, and the Questionnaire was the instrument employed for data collection.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            31 January 2021
            Affiliations
            [1 ] Department of Computer Science/ University of Abuja -Nigeria
            Author notes
            Article
            10.14293/S2199-1006.1.SOR-.PPFHSFB.v1
            13cb4ae1-a808-48e0-bc9a-2827a87c7a82

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .


            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Education,Computer science,Statistics,Engineering
            Big Data,Students Performance,KDD,Data Science,Nigeria,Analytics,AI

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