INTRODUCTION

1.0 Introduction

This chapter presents the introduction to an intelligence based system for students performance evaluation. It presents:

Introduction

Statement of the problem

Objectives of the study

Scope of the study

Significance of the study

Organization of the research

Definition of terms

Performance in schools is increasingly judged on the basis of effective learning outcomes. Information is critical to knowing whether the school system is delivering good performance and to providing feedback for improvement in student outcomes. The OECD (Organization for Economic Co-operation and Development) has launched the Review on Evaluation and Assessment Frameworks for Improving School Outcomes to provide analysis and policy advice to countries. Countries use a range of techniques for the evaluation and assessment of students, teachers, schools and education systems. Many countries test samples and/or all students at key points, and sometimes follow students over time. In all countries, there is widespread recognition that evaluation and assessment frameworks are key to building stronger and fairer school systems. Countries also emphasize the importance of seeing evaluation and assessment not as ends in themselves, but instead as important tools for achieving improved student outcomes [1].

1.1 Statement of Problem

The following are the problems that necessitated this research to be conducted.

Absence of an effective computerized performance evaluation system in schools.
The manual method of conducting performance evaluation of students is time consuming and prone to many errors.

Difficulty in obtaining instant reports of past performance evaluation records.

1.2 Aim and Objectives of the Study

The aim of the study is to design and Implement an intelligence based system for students’ performance evaluation. The specific objectives are:

To develop a computerized system to replace the manual method of assessing students.

To develop a system that will intelligently determine the performance of students based on different variables such as attendance frequency, class work performance, neatness etc.

To develop a system that will capture performance assessment records to a database.

To develop a system that will aid in the easy retrieval of performance evaluation records.

1.3 Scope of the Study

This study covers the Design and Implementation of an intelligence based system for students performance evaluation a case study of state college, Ikot Ekpene, Akwa Ibom state. It is limited to the assessment of the students performance by different variables such as attendance frequency, class work performance, ability to answer questions, general proficiency in study, English language proficiency, socialization ability, neatness/ dressing, obedience level.

1.4 Significance of the Study

The significance of the study are:

It will provide valuable information to readers on how performance evaluation in schools is conducted.

It will provide a system that will aid in the easy computation, storage and reporting of performance evaluation records.

It will save time in the assessment of student’s performance.

It will serve as a useful reference material for other researchers seeking related information.

Organization of the Research

This research work is organized into five chapters. Chapter one is concerned with the introduction of the research study and it presents the preliminaries, theoretical background, statement of the problem, aim and objectives of the study, significance of the study, scope of the study, organization of the research and definition of terms.

Chapter two focuses on the literature review, the contributions of other scholars on the subject matter is discussed.

Chapter three is concerned with the system analysis and design. It analyzes the present system to identify the problems and provides information on the advantages and disadvantages of the proposed system. The system design is also presented in this chapter.

Chapter four presents the system implementation and documentation. The choice of programming language, analysis of modules, choice of programming language and system requirements for implementation.

Chapter five focuses on the summary, conclusion and recommendations are provided in this chapter based on the study carried out.

1.6 Definition of terms

Artificial Intelligence: A field of computer science that is concerned with the development of systems that mimic the intelligence of human experts.

Performance: The amount of useful work accomplished to the time and resources used.

Evaluation: An appraisal or assessment of an individual or thing to determine their level of performance.