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

TL;DR

This paper explores how tertiary institutions in Nigeria can leverage Big Data and analytics to enhance student performance prediction, focusing on adoption factors and challenges through survey research.

Contribution

It investigates the relevant attributes, adoption factors, and barriers to implementing Big Data analytics in Nigerian higher education institutions.

Findings

Identifies key attributes of Big Data relevant to education

Highlights factors influencing adoption of Big Data analytics

Discusses limiting factors hindering implementation

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.