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Big Data and Analytics Implementation in Tertiary Institutions to Predict Students Performance in Nigeria

Computers and Society 2022-08-01 v1 Artificial Intelligence Machine Learning

Abstract

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 on it in a palpable fashion. 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 Questionnaires were the instrument employed for data collection.

Keywords

Cite

@article{arxiv.2207.14677,
  title  = {Big Data and Analytics Implementation in Tertiary Institutions to Predict Students Performance in Nigeria},
  author = {Ozioma Collins Oguine and Kanyifeechukwu Jane Oguine and Hashim Ibrahim Bisallah},
  journal= {arXiv preprint arXiv:2207.14677},
  year   = {2022}
}

Comments

7 pages, 4 figures

R2 v1 2026-06-25T01:20:00.119Z