This study was on “Relative Academic performance of Junior Secondary School Students in Computer Science and Integrated Science from 2004 – 2008 (A case study of Enugu North Local Government Area of Enugu State)
Three (3) research questions were answered and the population of this study is two hundred (200), which was made up of computer and integrated science classroom teachers, principals, head teachers, assistance head teachers, and students. Data were presented in table and were analyzed using the mean. The sampling technique used for this study is the simple random sampling and total sample size in sixty. Form the selected junior secondary schools in Enugu State; it was found out by the researchers that relative significances differences exist between the academic performances of students in junior secondary school, within the years under review. Besides, the problem of domain specification, underutilization of leaning resources and lack of experience among teachers affect students performance in computer and integrated science subjects at the junior secondary school level. It was concluded that among other things that teachers need to take assessment from the students to know or ascertain the extent and depth knowledge acquired after a course of study or programme of teaching.
The researchers recommended among others that many participative methods should be employed by the teachers in the teaching and learning of computer and integrated science delivery and excellent academic performance of students.
TITLE PAGE
APPROVAL PAGE
DEDICATION
ACKNOWLEDGEMENTS
TABLE OF CONTENTS
LIST OF TABLES
ABSTRACT
CHAPTER ONE
INTRODUCTION
Background of the study
Statement of problem
Purpose of the study
Significance of the study
Research question
Scope of the study
CHAPTER TWO
REVIEW OF RELATIVE LITERATURE
2.1 The level of junior students performance in computer and integrated science.
2.2 the student interest in computer and integrated science subjects.
2.3 the factors that contributed to their excellent or poor performance.
2.4 the possible measures to employ to review academic excellent in integrated and computer sciences.
CHAPTER THREE
RESEARCH METHODS
3.1 research Design
3.2 area of the study
3.3 population of the study
3.4 Sample and sampling technique.
3.5 instrument for data collection
3.6 validation of the instrument
3.7 reliability of the instrument
3.8 Methods of data Analysis.
CHAPTER FOUR
DATA PRESENTATION AND ANALYSIS
4.1 research question 1
4.2 research question 2
4.3 Research question 3
CHAPTER FIVE
SUMMARY, CONCLUSION AND RECOMMENDATION
5.1 Summary of findings
5.2 Conclusion
5.3 Recommendation
5.4 Suggestions for further study
REFERENCES
APPENDIX – I QUESTIONNAIRE
Relative Academic Performance Of Junior Secondary School Students In Computer Science And Integrated Science. (n.d.). UniTopics. https://www.unitopics.com/project/material/relative-academic-performance-of-junior-secondary-school-students-in-computer-science-and-integrated-science/
“Relative Academic Performance Of Junior Secondary School Students In Computer Science And Integrated Science.” UniTopics, https://www.unitopics.com/project/material/relative-academic-performance-of-junior-secondary-school-students-in-computer-science-and-integrated-science/. Accessed 25 November 2024.
“Relative Academic Performance Of Junior Secondary School Students In Computer Science And Integrated Science.” UniTopics, Accessed November 25, 2024. https://www.unitopics.com/project/material/relative-academic-performance-of-junior-secondary-school-students-in-computer-science-and-integrated-science/
Here’s a typical structure for Relative Academic Performance Of Junior Secondary School Students In Computer Science And Integrated Science research projects:
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- Review existing research related to Relative Academic Performance Of Junior Secondary School Students In Computer Science And Integrated Science, identifying gaps the study aims to fill.
- The methodology section of Relative Academic Performance Of Junior Secondary School Students In Computer Science And Integrated Science should describe the research design, data collection methods, and analytical techniques used.
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