Data Mining Application for Determining Student’s Academic Performance (A Case Study of Kwara State Polytechnic, Ilorin)

ABSTRACT

The project mainly focused on developing an application for information extract or retrieval from pool of data (i.e. a large database) to form basis for decision making. Information extracted from the database in the course of data mining process can be presented in graphical format in form of graphs patterns, histogram, etc. and also in text format. The reason for suggesting the project is the need for employing computer software medium for sanitizing academic standard through computer based decision making. Data mining package can present clear reasons and factor that affects students’ performance and hence allow administrators to derive strategic means of tackling such issues. The package will be developed in a .net integrated development environment (.net IDE). The package IDE is chosen following the fact that extracted information needs to be presented in an enhanced pictorial/graphical format and easy communication with the database for program flexibility in windows platform.

 
TABLE OF CONTENTS

Title page                                                        

Certification                                                                             

Dedication                                                       

Acknowledgment                                                                                 

Abstract                                                                                              

Table of Contents                                 

CHAPTER ONE

1.1       GENERAL INTRODUCTION                

            1.1 Introduction            

            1.2 Statement of the problem

            1.3 Aims and objectives

            1.4 Significance of the study

            1.5 Scope and limitations                     

            1.6 Organization of report         

            1.7 Definition of terms/acronyms

CHAPTER TWO

2.0       LITERATURE REVIEW

            2.1 Data mining in higher education

            2.2 Review of general text

            2.3 Research and evolution of data mining

            2.4 Data mining process

            2.5 Academic analytics

            2.6 Data mining in higher education

CHAPTER THREE

3.0       PROJECT METHODOLOGY    

3.1. Methods of data collection 

3.2 Description of the existing system

            3.3 Problems of the existing system

            3.4 Description of the proposed system

            3.5 Advantages of the proposed system

            3.6 Design and implementation methodologies

CHAPTER FOUR

4.0       DESIGN, IMPLEMENTATION AND DOCUMENTATION OF THE SYSTEM

            4.1 Design of the system

4.2       Output design

4.3       Input Design

4.4       Database design

4.5       Procedure Design

4.6       Implementation of the system

            4.6.1     Hardware Support

            4.6.2     Software support

4.7       Documentation of the system

            4.7.1     Operating the system

            4.7.2     Maintaining the system

CHAPTER FIVE

5.0       SUMMARY AND CONCLUSION

            5.1 Summary

            5.2 Conclusions

            5.3 Recommendation

 REFERENCES

APPENDICES

1.                System flowchart

2.                Program flowchart

3.                Source Program listing

4.                Computer output