Predicting The Future Academic Performance Of Undergraduate Students With Artificial Neural Networks

55 pages Chapters 5 ID: CPU0734

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DepartmentComputer Science
TypeProject
Pages55
Chapters5
FormatMS Word & PDF
Reference No.CPU0734

Abstract

CHAPTER ONE INTRODUCTION 1.1       BACKGROUND TO THE STUDY Most institutions of higher learning today are concerned with predicting the paths of undergraduate students. By analysing student performances as they move from one level to the next, it is possible to determine which students will join particular course programs and the various fields the students will excel at. Today, one of the biggest challenges that educational institutions face is the explosive growth of educational data and how to use this data to improve the quality of managerial decisions. This research is aimed at using Neur…

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