comparison of academic performance of students in computer science in the tertiary institution from 2016-2019

comparison of academic performance of students in computer science in the tertiary institution from 2016-2019

TABLE OF CONTENT

Title page

Approval page

Dedication

Acknowledgment

Abstract

Table of content

 

CHAPETR ONE

1.0   INTRODUCTION 

1.1        Background of the study

1.2        Statement of problem

1.3        Objective of the study

1.4        Research Hypotheses

1.5        Significance of the study

1.6        Scope and limitation of the study

1.7       Definition of terms

1.8       Organization of the study

 

 

CHAPETR TWO

2.0   LITERATURE REVIEW

 

CHAPETR THREE

3.0        Research methodology

3.1    sources of data collection

3.3        Population of the study

3.4        Sampling and sampling distribution

3.5        Validation of research instrument

3.6        Method of data analysis

CHAPTER FOUR

DATA PRESENTATION AND ANALYSIS AND INTERPRETATION

4.1 Introductions

4.2 Data analysis

CHAPTER FIVE

5.1 Introduction

5.2 Summary

5.3 Conclusion

5.4 Recommendation

Appendix

 

Abstract

The total population for the study is 200 staff of university of Ibadan. The researcher used questionnaires as the instrument for the data collection. Descriptive Survey research design was adopted for this study. A total of 133 respondents made heads of department, senior lecturers, junior lecturers and graduate assistants were used for the study. The data collected were presented in tables and analyzed using simple percentages and frequencies

CHAPTER ONE

INTRODUCTION

1.1Background of the study

 

The students’ academic performance is the outcome of the final examinations, quizzes, assignments, attendance and other graded points related to the course. The primary mission of each tertiary institution in the field of computing and information technology is to offer high quality and relevant education in order to produce skillful and competent graduates. To accomplish this, a number of practical and instructional strategies were designed to improve the students’ academic performance.

Computer science course is one of the requirements to obtain a degree in most computing and information technology academic programs. It is a generally belief that computer science course is one of the most difficult courses in tertiary institutions because it is too abstract and requires higher analytical and problem solving skills. Thus, to improve the performance of struggling students in computer science course, improvement strategies are needed. Aside from the fact that, teaming number of graduates are unemployable and jobless because they were ill equipped in practical and employable skills in their course. Thus, there is need to assess and suggest improvement strategies for computer science students’ academic performance. The purpose of improvement strategies in education is to identify all factors that may advance students’ performance academically. Lecturers have usually found ways for classroom strategies that will reach out and help the students to boost their performance

1.2 STATEMENT OFF THE PROBLEM

Learning computer science is a complex task since computer science requires new ideas in thinking and creative skills in problem solving. The average of students’ academic performance in computer science course for over the years in undergraduate program of computing and information technology in many universities and polytechnic can be concluded as poor compared to other courses in the field. However, the percentage of students with poor academic performance every semester is indisputable and do not support the mission of many academic programs. This affects the quality of education the academic programs are trying to keep up. Improving the academic performance of students is part of the continuous effort to uplift the standard of education in the area of computing and information technology.

1.3 OBJECTIVE OF THE STUDY

The objectives of the study are;

1. To identify the behaviors of students in computer science course
2. To ascertain the academic performance of students on computer science
3. To recommended improvement strategies to advance the students’ performance in computer science course.

1.4 RESEARCH HYPOTHESES

For the successful completion of the study, the following research hypotheses were formulated by the researcher;

H₀:   there is no bad behaviors of students in computer science course

H₁: there is bad behaviors of students in computer science course

H₀²:  students are not performing well on computer science course

H₂:  students are performing well on computer science course

1.5 SIGNIFICANCE OF THE STUDY

The study will be very significant to computer science students and policy makers. The study will give a clear insight on the comparison of academic performance of students in computer science in the tertiary institution from 2016-2019. The study will also serve as a reference to other researcher that will embark on the related topic

1.6 SCOPE AND LIMITATION OF THE STUDY

The scope of the study covers comparison of academic performance of students in computer science in the tertiary institution from 2016-2019. The researcher encounters some constrain which limited the scope of the study;

1. a) AVAILABILITY OF RESEARCH MATERIAL: The research material available to the researcher is insufficient, thereby limiting the study
2. b) TIME: The time frame allocated to the study does not enhance wider coverage as the researcher has to combine other academic activities and examinations with the study.

1.7 DEFINITION OF TERMS

Academic performance: Academic performance or “academic achievement” is the extent to which a student, teacher or institution has attained their short or long-term educational goals. Completion of educational benchmarks such as secondary school diplomas and bachelor’s degrees represent academic achievement.

Computer science: Computer science is the study of processes that interact with data and that can be represented as data in the form of programs. It enables the use of algorithms to manipulate, store, and communicate digital information

1.8 ORGANIZATION OF THE STUDY

This research work is organized in five chapters, for easy understanding, as follows

Chapter one is concern with the introduction, which consist of the (overview, of the study), historical background, statement of problem, objectives of the study, research hypotheses, significance of the study, scope and limitation of the study, definition of terms and historical background of the study. Chapter two highlights the theoretical framework on which the study is based, thus the review of related literature. Chapter three deals on the research design and methodology adopted in the study. Chapter four concentrate on the data collection and analysis and presentation of finding.  Chapter five gives summary, conclusion, and recommendations made of the study

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