Role of Data Mining in Nigerian Tertiary Education Sector

TL;DR

This paper discusses how data mining techniques can be effectively used to analyze student data and improve decision-making in Nigerian tertiary education institutions amidst rapid growth.

Contribution

It explores the specific roles and applications of data mining tools in addressing challenges within Nigerian higher education systems.

Findings

Data mining aids in predicting student and staff performance.

It helps identify issues in academic progression.

Enhances decision-making in Nigerian tertiary institutions.

Abstract

Over a decade there has been a rapid growth in Nigerian educational system particularly higher education. Various institutions have come up both from public and private sector offering many of courses both under and post graduate students. Therefore, rates of students enroll for higher educational institutions in Nigeria have also increased. Hence it is very important to understand the roles play by data mining in analyzing the collected data of students and their academic progression. It is a concern for today's education system and this gap has to be identified and properly addressed to the learning community. Data Mining it helps in various ways to resolve issues face in predictions students and staff performances within Nigerian education system. This paperwork we discuss the roles of Data Mining tools and techniques which can be used effectively in resolving issues in some functional unit of Nigerian tertiary institutions.