Home / Computer Science / A comprehensive impact assessment of truancy on students academic performance

A comprehensive impact assessment of truancy on students academic performance

 

Table Of Contents


Project Abstract

The purpose of this study was to investigate influence of truancy on students’ academic performance in Alimosho Local Government Area of Lagos State of Nigeria. To achieve the aim of this study, four hypotheses were formulated to direct the study. Literature related to the variables under study were reviewed accordingly. Ex-post factor research design was adopted for the study. A sample of two hundred (200) students were randomly selected for the study. The selection was done through the simple random sampling technique. The questionnaire was the main instrument used for data collection. To test the hypotheses and to ascertain whether to reject or retain them, Pearson product moment correlation statistical technique and One way analysis of variance (ANOVA) were adopted. This statistical tool was used because of the nature of the variable in the hypothesis directing the study. The .05 level of significance was used for the statistical testing of each of the hypothesis. The result of the analysis revealed that, absenteeism, lateness, skipping class significantly influenced academic performance of primary school pupils. Based on the findings of the study it was recommended among others that school administrators should encourage teacher in using electronic media to make teaching-learning interesting. Suggestions for further studies were made.

Project Overview

Blazingprojects Mobile App

πŸ“š Over 50,000 Project Materials
πŸ“± 100% Offline: No internet needed
πŸ“ Over 98 Departments
πŸ” Software coding and Machine construction
πŸŽ“ Postgraduate/Undergraduate Research works
πŸ“₯ Instant Whatsapp/Email Delivery

Blazingprojects App

Related Research

Computer Science. 3 min read

Predicting Disease Outbreaks Using Machine Learning and Data Analysis...

The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...

BP
Blazingprojects
Read more β†’
Computer Science. 4 min read

Implementation of a Real-Time Facial Recognition System using Deep Learning Techniqu...

The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...

BP
Blazingprojects
Read more β†’
Computer Science. 3 min read

Applying Machine Learning for Network Intrusion Detection...

The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...

BP
Blazingprojects
Read more β†’
Computer Science. 4 min read

Analyzing and Improving Machine Learning Model Performance Using Explainable AI Tech...

The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...

BP
Blazingprojects
Read more β†’
Computer Science. 2 min read

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

The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...

BP
Blazingprojects
Read more β†’
Computer Science. 2 min read

Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems...

The project topic, "Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems," focuses on the integration of machine learn...

BP
Blazingprojects
Read more β†’
Computer Science. 3 min read

Anomaly Detection in Internet of Things (IoT) Networks using Machine Learning Algori...

Anomaly detection in Internet of Things (IoT) networks using machine learning algorithms is a critical research area that aims to enhance the security and effic...

BP
Blazingprojects
Read more β†’
Computer Science. 2 min read

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

Anomaly detection in network traffic using machine learning algorithms is a crucial aspect of cybersecurity that aims to identify unusual patterns or behaviors ...

BP
Blazingprojects
Read more β†’
Computer Science. 3 min read

Predictive maintenance using machine learning algorithms...

Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...

BP
Blazingprojects
Read more β†’
WhatsApp Click here to chat with us