The purpose of this study was to investigate influence of truancy on studentsβ 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.
π Over 50,000 Project Materials
π± 100% Offline: No internet needed
π Over 98 Departments
π Software coding and Machine construction
π Postgraduate/Undergraduate Research works
π₯ Instant Whatsapp/Email Delivery
The project topic, "Predicting Disease Outbreaks Using Machine Learning and Data Analysis," focuses on utilizing advanced computational techniques to ...
The project on "Implementation of a Real-Time Facial Recognition System using Deep Learning Techniques" aims to develop a sophisticated system that ca...
The project topic "Applying Machine Learning for Network Intrusion Detection" focuses on utilizing machine learning algorithms to enhance the detectio...
The project topic "Analyzing and Improving Machine Learning Model Performance Using Explainable AI Techniques" focuses on enhancing the effectiveness ...
The project topic "Applying Machine Learning Algorithms for Predicting Stock Market Trends" revolves around the application of cutting-edge machine le...
The project topic, "Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems," focuses on the integration of machine learn...
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...
Anomaly detection in network traffic using machine learning algorithms is a crucial aspect of cybersecurity that aims to identify unusual patterns or behaviors ...
Predictive maintenance is a proactive maintenance strategy that aims to predict equipment failures before they occur, thereby reducing downtime and maintenance ...