Download complete project materials on Data Mining Application For Determining Student’s Academic Performance from chapter one to five
ABSTRACT
PASS 2024 UTME WITHOUT STRESS:- 👉 DOWNLOAD and PRACTICE with 2023 UTME CBT APP 📱👈
CLICK to DOWNLOAD NOW.:- 👉 PASS Your POST UTME by Downloading Your School's Post UTME Past Questions and Answers 📱👈
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
.7.2 Maintaining the system
CHAPTER FIVE
5.0 SUMMARY AND CONCLUSION
5.1 Summary
5.2 Conclusions
5.3 Recommendation
REFERENCES
CHAPTER ONE
GENERAL INTRODUCTION
1.1 INTRODUCTION
Data mining is a branch of computer science which deals with the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management.
Data mining is seen as an increasingly important tool by modern business to transform data into business intelligence giving an informational advantage. It is currently used in a wide range of profiling practices, such as marketing, surveillance, fraud detection, and scientific discovery. (Clifton, 2010)
The related terms data dredging, data fishing and data snooping refer to the use of data mining techniques to sample portions of the larger population data set that are (or may be) too small for reliable statistical inferences to be made about the validity of any patterns discovered.
These techniques can, however, be used in the creation of new hypotheses to test against the larger data populations. (Clifton, 2010)
Recently educational institutions target activities within its organizations with computer-based tools to handle and store huge data available in educational processes for hidden patterns. The face value assessment of students at the point of entry can only be confirmed or dispelled by the dynamic follow-up monitoring of students’ performance during the course of study leading to serve as an indicator of the suitability and unsuitability of students before admission and during their course of study.
Fuzzy Set Theory is used in applications involving educational assessment and performance as it is regarded as efficient and effective in uncertain situations involving performance assessment. It is known that Expert Fuzzy scoring systems noted [Nolan 1998]; help teachers make assessment in less time and with a level of accuracy that compares favorably to the best teacher examiner.
The package will be developed using dot net frame work(c#) crumple with mysql database. Graphics will be use in this project work to give a quick view of the level of performance of student fetching record from the database.
1.2 STATEMENTS OF THE PROBLEM
The ideal goal of higher education is to continually maintain sustainable increasing graduation rates and growth with the most efficient procedures that allows for the accounting of input resources. The degree of quality students’ involves the pertinent issue of how to enhance and evaluate it through overt and covert processes. Hence, Data Mining processes for knowledge is the data which while dependent on quality, characteristics and preparation, supports and facilitates the thorough examination of the data’s different aspects for knowledge discovery in tertiary processes.
The result helps Kwara State Polytechnic, Ilorin to predict the degree of likelihood of a student’s persistence, learning outcomes in terms of performance and by using computer-based evaluation tools, meaningful learning outcome topologies are created using charts and graphical representations. Other studies have shown that some techniques are particularly beneficial for the various sub process.
1.3 AIM AND OBJECTIVES OF THE STUDY
The aim of this project is to design a computer-based application that summarizes all the qualities of assessment and performance monitoring of students’ which when expanded holds key information that answers questions on students’ academic performances. The objectives are as follow:
To observe and compare individual, segmented and well aggregated students’ performance variables by analyzing the whole student base activities and then building one predictive model.
To provide a continuous “Just-In-Time” student performance assessment model for predicting performance with reasonable degree of accuracy, thereby enhancing monitoring of student academic pursuance and any other stakeholder’ interests, at any point, for any student during the student’s tenure at the educational institution.
To develop computer-based modeling process that will be effective and integrate all the data objects and rules needed for performance prediction allowing for quality control in the institution,using .netime.
1.4 SIGNIFICANCE OF THE STUDY
Data mining is a system of searching through large amounts of data. It is a relatively new concept which is directly related to computer science. Despite this, it can be used with a number of older computer techniques such as statistics.
SEE >> HOW TO DOWNLOAD THE COMPLETE PROJECT (CHAPTER 1-5) NOW
>GUARANTTEE|:| Score 280 Above in 2024 UTME👉 DOWNLOAD FREE JAMB CBT APP HERE:.: GURRANTTEE Score 280 Above in 2022 UTME👉 DOWNLOAD FREE JAMB CBT APP HERE 📱👈WISH TO STUDY & LIVE in UK?:- STUDY, WORK AND LIVE IN the UK Application Form NOW OUT. Call 08030447894
