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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, Artificial Intelligence, AI, KDD, Students Performance, Nigeria

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

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          ScienceOpen Preprints
          31 January 2021
          [1 ] Department of Computer Science/ University of Abuja -Nigeria

          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.

          Computer science, Statistics

          Nigeria, Big Data, Data Science, Artificial Intelligence, AI, KDD, Students Performance


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