Home / Computer Science / Influence of family background on the cognitive development of pre-primary school pupils

Influence of family background on the cognitive development of pre-primary school pupils

 

Table Of Contents


Thesis Abstract

Abstract
The cognitive development of pre-primary school pupils is a critical aspect of their overall growth and future academic success. This research project aims to investigate the influence of family background on the cognitive development of pre-primary school pupils. The study will focus on exploring how factors such as parental education level, socioeconomic status, family structure, and parental involvement impact the cognitive abilities of young children. A comprehensive literature review will be conducted to examine existing research on the relationship between family background and cognitive development in pre-primary school pupils. This will provide a theoretical framework for the study and help identify gaps in the current knowledge base. The research will utilize a mixed-methods approach, combining quantitative data analysis and qualitative interviews with parents and teachers. Quantitative data will be collected through surveys distributed to parents of pre-primary school pupils to gather information on parental education level, socioeconomic status, and family structure. Cognitive development will be assessed using standardized measures such as cognitive tests and school performance indicators. Statistical analysis will be conducted to explore correlations between family background variables and cognitive outcomes. Qualitative data will be collected through semi-structured interviews with parents and teachers to gain insights into the role of parental involvement in supporting children's cognitive development. The interviews will explore the strategies and practices parents use to engage with their children in learning activities at home and school. Teachers will provide perspectives on the impact of family background on students' academic performance and behavior in the classroom. The findings of this research project are expected to contribute to our understanding of how family background influences the cognitive development of pre-primary school pupils. By identifying key factors that support or hinder children's cognitive growth, the study aims to inform educational policies and practices that promote equal opportunities for all students. Ultimately, the research seeks to highlight the importance of parental involvement and support in fostering positive cognitive outcomes for young children in the pre-primary school setting.

Thesis Overview

INTRODUCTION

1.1 BACKGROUND OF STUDY

From the beginning, parents have been the major persons involved in raising children in every society. That is why the family is recognized as an important agent of socialization.

Adekeyi, A. (2002) observes that it is mainly through their efforts and abilities that children are socialized to become productive citizens. So, wherever parents possess the resources and skills and apply them effectively and joyfully in raising their children the entire society benefits.

This brings joy and pride to the nation, and encourage development and peaceful co-existence. The children themselves feel good and bring happiness to their parents and the whole community.
In view of this, the influence of family background on the cognitive development of pupils becomes and indispensable factor in the wheel of progress. It is a fact that parental background influences pupils’ cognitive development either positively or negatively. A well-to-do family will have positive interest in the education of their children.

According to Ezewu, E. (2003), family background of parents affects children especially in respect to their academic achievement.

The primary function of parents is the rearing and protection of children and passing on to them the values and beliefs of the society. They also teach children the rules, traditions and ways of doing things. It is also the responsibility of the parents to provide their children with shelter, food, education, security and personal development. This is the family of orientation. The level of educational attainment of parents influence the academic achievement of their children. For instance, in a family where both the mother and father are educated, their children are always taken good care of in their academic activities. They may go through their children’s exercise books after school, or even employ a private teacher to teach them after school. By so doing their academic achievement will be improved; whereas in the case of illiterate family, the need to supervise their children’s exercise book is not there, hence their children’s low academic achievement in school.

It is obvious to note that the level of achievement of a child educationally also depends on the hereditary factors and the environmental factor.
Hereditary factors influence a child’s academic achievement in school. This happens when a child inherits poor genes from either the mother or the father; such a child will not be able to achieve much even if the environment is conducive for effective learning. On the other hand, a child who inherits a very high gene from parents may not perform very well if, the environment is not stimulating.

A conducive environment is necessary for a good cognitive development of a child. A stimulating environment could spur up a potential mediocre into an intellectual giant while an inhibiting environment could turn a genius child into a mediocre. The aim of this research work is to find out the influence of family background on the cognitive development of pre-primary school pupils. The effect of family background on pupils’’ cognitive development in primary schools has been a problem for the past decades and must not be left to chance.

1.2 STATEMENT OF PROBLEM

The influence of family background, that is, the socio-economic status of parents in the cognitive development of their children have been posing very serious problem to many people in our society. It is argued in some quarters that children from rich parents perform better cognitively than those children from poor parental background in the classroom situation. But some people hold the opposite view by arguing that most of the children from rich families are way-wards in school cognitively than children from poor and average families. In the classroom here in Calabar Municipality Local Government Area, the teacher teaches pupils together irrespective of their family background.

This research work is premised on this erroneous thinking and misconception in our society. The researcher is therefore poised to make findings to determine whose child performs better academically and what are the causative agents to this. The researcher will also find solution to the problems and suggest ways and methods to eradicate or improve upon the situation for the benefit of pupils, parents, schools, educators, and the society as well.

1.3 PURPOSE OF THE STUDY

The purpose of this study is to investigate the influence of family background on the cognitive development of pre-primary school pupils in selected pre-primary schools in Calabar Municipality. The objectives of the study specifically include:

i. Identifying the influence of family background as it affects the cognitive development of their children.

ii. Carrying out controlled study and investigation on home environment and facilities in these homes for children educational development with special reference to Calabar Municipality.

iii. Seeking to suggest the possible solutions to the problem so as to enhance pupils cognitive development in schools.

Hopefully, when parents are once more reminded of their divine and practical responsibilities of their children, our school system and society will be more stable, disciplined and functional one



Blazingprojects Mobile App

📚 Over 50,000 Research Thesis
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Thesis-to-Journal Publication
🎓 Undergraduate/Postgraduate Thesis
📥 Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Computer Science. 3 min read

Applying Machine Learning Techniques to Detect Financial Fraud in Online Transaction...

The project titled "Applying Machine Learning Techniques to Detect Financial Fraud in Online Transactions" aims to address the critical issue of detec...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Anomaly Detection in IoT Networks Using Machine Learning Algorithms...

The project titled "Anomaly Detection in IoT Networks Using Machine Learning Algorithms" focuses on addressing the critical challenge of detecting ano...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Applying Machine Learning Algorithms for Predicting Stock Market Trends...

The project titled "Applying Machine Learning Algorithms for Predicting Stock Market Trends" aims to explore the application of machine learning algor...

BP
Blazingprojects
Read more →
Computer Science. 2 min read

Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data...

The project titled "Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data" focuses on utilizing machine learning algorithms...

BP
Blazingprojects
Read more →
Computer Science. 2 min read

Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems...

The project titled "Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems" focuses on leveraging machine learning techniques ...

BP
Blazingprojects
Read more →
Computer Science. 2 min read

Implementation of a Machine Learning Algorithm for Predicting Stock Prices...

The project, "Implementation of a Machine Learning Algorithm for Predicting Stock Prices," aims to leverage the power of machine learning techniques t...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Development of an Intelligent Traffic Management System using Machine Learning Algor...

The project titled "Development of an Intelligent Traffic Management System using Machine Learning Algorithms" aims to revolutionize the traditional t...

BP
Blazingprojects
Read more →
Computer Science. 4 min read

Anomaly Detection in Network Traffic Using Machine Learning Algorithms...

No response received....

BP
Blazingprojects
Read more →
Computer Science. 3 min read

Applying Machine Learning for Intrusion Detection in IoT Networks...

The project titled "Applying Machine Learning for Intrusion Detection in IoT Networks" aims to address the increasing cybersecurity threats targeting ...

BP
Blazingprojects
Read more →
WhatsApp Click here to chat with us