Investigation into IoT-Based Smart Attendance Monitoring for Secondary Schools in Kano Municipal LGA, Kano State
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Background of the Study :
Accurate attendance monitoring is critical in secondary schools for ensuring student engagement and administrative efficiency. In Kano Municipal LGA, Kano State, traditional manual attendance systems are often error-prone, time-consuming, and susceptible to fraudulent practices such as proxy attendance. The integration of IoT technology offers a promising solution by automating the attendance process using smart devices. This study proposes the development of an IoT-based smart attendance monitoring system that utilizes biometric scanners, RFID readers, and real-time data transmission to record attendance automatically (Ibrahim, 2023). The system will capture student data as they enter classrooms and common areas, transmitting this information to a centralized database for immediate processing and analysis. With the help of cloud computing, attendance records can be updated in real time and accessed by teachers, administrators, and even parents through a mobile application. Such a system not only minimizes human error but also improves data accuracy and enhances accountability. Previous research has shown that automated attendance systems can significantly reduce administrative burdens and improve student punctuality and performance (Olu, 2024). This study will involve designing the system architecture, integrating sensor technology with embedded computing, and conducting field trials in selected secondary schools within Kano Municipal LGA. Key challenges such as data security, system interoperability, and user acceptance will also be addressed to ensure a robust and sustainable solution. The ultimate goal is to transform traditional attendance practices, ensuring reliable and efficient data management that contributes to better educational outcomes (Adeniyi, 2025).
Statement of the Problem :
Traditional attendance monitoring methods in secondary schools in Kano Municipal LGA are fraught with challenges, including manual data entry errors, proxy attendance, and delays in record processing. These issues not only undermine the accuracy of attendance records but also increase administrative workloads and compromise the ability to identify truancy promptly. Inadequate attendance data can affect student performance evaluations and overall school management. Moreover, current methods do not offer real-time updates, making it difficult for school administrators to track attendance patterns and intervene when necessary. The absence of an automated system exacerbates these problems, as manual methods are both time-consuming and unreliable. There is a critical need for an IoT-based smart attendance system that automates data collection, ensures accurate real-time tracking, and minimizes the potential for human error. By integrating biometric and RFID technologies, such a system can provide a secure, efficient, and scalable solution for secondary schools. This study seeks to develop and evaluate a smart attendance monitoring system that addresses these shortcomings by providing continuous, reliable data that can be used for immediate administrative action and long-term planning. Addressing these challenges is essential for improving student accountability, streamlining administrative processes, and enhancing overall school performance (Ibrahim, 2023; Olu, 2024).
Objectives of the Study:
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To design an IoT-based smart attendance system for real-time monitoring.
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To integrate biometric and RFID technologies for accurate student identification.
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To evaluate the system’s impact on administrative efficiency and attendance accuracy.
Research Questions:
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How effective is the IoT system in capturing and processing attendance data in real time?
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What benefits does biometric integration provide in preventing proxy attendance?
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How does the system improve overall administrative efficiency and student engagement?
Significance of the Study :
This study is significant as it develops an IoT-based smart attendance monitoring system that transforms traditional attendance methods in secondary schools, ensuring accurate, real-time data collection and reducing administrative burdens. The improved system enhances student accountability and supports data-driven decision-making in educational management, offering a replicable model for resource-limited settings (Adeniyi, 2025).
Scope and Limitations of the Study:
The study is limited to the design, implementation, and evaluation of the IoT-based attendance system in secondary schools in Kano Municipal LGA, Kano State, and does not extend to primary or tertiary institutions.
Definitions of Terms:
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Biometric Scanner: A device that uses physical characteristics to verify identity.
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RFID (Radio-Frequency Identification): A technology for automatic identification using radio waves.
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Smart Attendance Monitoring: An automated system for tracking attendance using digital technologies.
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