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Development of a Convolutional Neural Network-Based System .
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Development of a Convolutional Neural Network-Based System for the Detection and Prevention of Cheating in Online Examinations

This research aims to develop a Convolutional Neural Network-Based System for the Detection and Prevention of Cheating in Online Examinations. The material is an editable microsoft word document comprising preliminary pages, table of contents, abstract, chapters one to five, and references. Acknowledgement is also included, expressing gratitude to the individuals, institutions, and resources that contributed to the successful completion of the research, with materials and information sourced from the online platform sparklyn.com.ng, which provided valuable academic support.

Material Excerpt on Development of a Convolutional Neural Network-Based System for the Detection and Prevention of Cheating in Online Examinations

TABLE OF CONTENTS

PRELIMINARY PAGES

  • Title page
  • Approval page
  • Dedication
  • Acknowledgement
  • Table of Contents
  • Abstract

CHAPTER ONE

INTRODUCTION

  • 1.1 Introduction
  • 1.2 Background of Study
  • 1.3 Statement of the Problem
  • 1.4 Aim and Objectives of the Study
  • 1.5 Significance of Study
  • 1.6 Scope of Study
  • 1.7 Limitations of the Study
  • 1.8 Definition of Terms

CHAPTER TWO

LITERATURE REVIEW

  • 2.1 Introduction
  • ⋮

CHAPTER THREE

SYSTEM ANALYSIS AND DESIGN

  • 3.1 Methodology Adopted
  • 3.1.1 Problem Identification Using SSADM
  • 3.2 Analysis of the Existing System
  • 3.2.1 Dataflow of the Existing System
  • 3.2.2 Disadvantages Of The Existing System
  • 3.2.3 Weakness of the existing System
  • 3.3 Feasibility Study
  • 3.3.1 Economic Feasibility
  • 3.3.2 Technical Feasibility
  • 3.3.3 Operational Feasibility
  • 3.4 Analysis of the Proposed System
  • 3.4.1 Data Flow Diagram of the Proposed System
  • 3.4.2 Advantages of the Proposed System
  • 3.4.3 Justification of the Proposed System
  • 3.5 Functional Requirements
  • 3.5.1 Use Case Diagram Of The Admin / User Privileges
  • 3.6 Data Requirements
  • 3.7 High Level Model of the Proposed System

CHAPTER FOUR

SYSTEM DESIGN AND IMPLEMENTATION

  • 4.1 Objectives of the Design
  • 4.2 Cohesion and Decomposition High level Model
  • 4.3 Control Center / Overall Dataflow Diagram
  • 4.3.1 Proposed System Operation Flowchart
  • 4.4 System Specification and Design
  • 4.4.1 Input and Output Specification
  • 4.4.2 Database Specification and Design
  • 4.4.3 Data Dictionary
  • 4.5 Choice and Justification of Programming Language
  • 4.6 Program Documentation
  • 4.7 Implementation Techniques
  • 4.7.1 System Testing
  • 4.8 Programming Module Specification
  • 4.8.1 Installation
  • 4.9 Computer Hardware Minimum Requirement
  • 4.10 Software Requirement
  • 4.11 Personnel / User Training
  • 4.12 File Maintenance Module

CHAPTER FIVE

SUMMARY, CONCLUSION AND RECOMMENDATION

  • 5.1 Introduction
  • 5.2 Summary
  • 5.3 Conclusion
  • 5.4 Recommendation

REFERENCES

APPENDIX A - “SOURCE CODE”

APPENDIX B - “OBJECT PROGRAM”

CHAPTER ONE

1.1 Introduction

In this section, Development of a Convolutional Neural Network-Based System for the Detection and Prevention of Cheating in Online Examinations is discussed, with relevant and recent citations. As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the aim and objectives of the study. Others are significance of the study, scope of work, limitation of the study and definition of terms.

1.4 Aim and Objectives of the Study

This study is intended to develop a Convolutional Neural Network-Based System for the Detection and Prevention of Cheating in Online Examinations. The specific objectives of this study are:

⋮

CHAPTER TWO

2.1 Introduction

This chapter presents existing knowledge, relevant theories, previous research findings, and the methods used by other researchers to provide background information on Development of a Convolutional Neural Network-Based System for the Detection and Prevention of Cheating in Online Examinations. This section also documents the state of the art on the subject under study and provides a comprehensive review of the existing literature. In this research work the literature review includes the conceputal review, theoretical framework, the review of related literature …

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