Comparative Study of Traditional and Big Data-Based Student Attendance Monitoring Systems in University of Ilorin, Kwara State
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Effective attendance monitoring is essential for maintaining academic discipline and ensuring accurate student records. At the University of Ilorin, Kwara State, traditional methods such as manual registers and paper-based records have become increasingly inadequate in the face of growing student populations and the demand for real-time data. Big data-based attendance monitoring systems offer a modern alternative by integrating data from biometric devices, RFID tags, and mobile applications to provide precise, real-time attendance data (Ibrahim, 2023). These digital systems utilize data analytics to identify patterns, detect anomalies, and generate comprehensive attendance reports, thereby facilitating timely interventions and enhancing overall administrative efficiency (Olufemi, 2024). Moreover, big data approaches provide scalability and improved data accuracy, reducing the administrative burden associated with manual processes. The implementation of these systems also promotes transparency and accountability, as attendance data can be easily verified and analyzed through interactive dashboards. However, challenges such as system integration, data privacy, and the initial cost of technology adoption remain significant obstacles. This study aims to conduct a comparative analysis between traditional attendance monitoring methods and big data-based systems at the University of Ilorin. By evaluating parameters such as accuracy, efficiency, and user satisfaction, the research seeks to provide a robust framework for optimizing attendance monitoring processes, thereby supporting improved academic outcomes and institutional management (Chinwe, 2025).
Statement of the Problem
The University of Ilorin currently relies on traditional, manual methods for monitoring student attendance, which are inefficient, error-prone, and incapable of providing real-time data. These conventional methods often result in inaccurate attendance records, delayed reporting, and an inability to promptly identify patterns of absenteeism (Adebola, 2023). The lack of an integrated, digital system hinders the university’s ability to manage attendance data effectively, thereby impacting resource allocation, academic performance monitoring, and overall institutional planning. In contrast, big data-based systems offer enhanced accuracy and operational efficiency; however, their implementation is challenged by high initial costs, data privacy concerns, and the need for specialized technical expertise. Without a reliable and scalable attendance monitoring system, the university faces difficulties in ensuring student accountability and optimizing administrative processes. This study seeks to address these challenges by comparing the effectiveness of traditional attendance monitoring methods with that of big data-based systems, evaluating their impact on data accuracy, administrative efficiency, and overall student performance. The objective is to develop a set of recommendations that can guide the integration of digital attendance solutions into the university’s administrative framework, thereby enhancing operational transparency and academic management.
Objectives of the Study:
-
To compare traditional and big data-based attendance monitoring systems.
-
To evaluate the impact of each system on accuracy and administrative efficiency.
-
To propose recommendations for implementing a big data-based attendance system.
Research Questions:
-
How does the accuracy of traditional attendance systems compare to that of big data-based systems?
-
What benefits does a big data-based attendance system offer in terms of administrative efficiency?
-
What challenges must be overcome to implement digital attendance monitoring effectively?
Significance of the Study
This study is significant as it highlights the advantages of big data-based attendance monitoring over traditional methods at the University of Ilorin. By improving accuracy and operational efficiency, the proposed system can enhance student accountability and support better academic management. The findings will provide practical recommendations for digital transformation in attendance tracking, benefiting university administrators and contributing to improved educational outcomes (Ibrahim, 2023).
Scope and Limitations of the Study:
The study is limited to a comparative analysis of student attendance monitoring systems at the University of Ilorin, Kwara State, and does not extend to other administrative functions or institutions.
Definitions of Terms:
-
Traditional Attendance Monitoring: Manual methods of tracking student attendance using paper-based systems.
-
Big Data-Based Systems: Digital systems that leverage large datasets and analytics for real-time monitoring.
-
Administrative Efficiency: The effectiveness and speed of administrative processes.
Related Project Materials
THE USE OF SENSITIZATION IN CURBING EXAMINATION MALPRACTICE AMONG SECONDARY SCHOOL STUDENTS
EXCERPT FROM THE STUDY
According to Azuka & Oyaziwo (2018), the first publicly reported case of examination malpract...
CODE MIXING AND CODE SWITCHING IN NIGERIAN MOVIES
Background of the Study
Code mixing /code switching is a sociolinguistic phenomenon which occurs as an...
IFRS and Its Effect on Accounting Profession Perception Among Nigerian Students
Background of the Study
International Financial Reporting Standards (IFRS) adoption has not only influe...
An evaluation of Goodluck Jonathan’s gender inclusion policies in Gombe North, Gombe State
Background of the Study
During his tenure as president, Goodluck Jonathan made notable strides in advancing gender equality...
Evaluating cardiovascular disease screening programs in Bauchi State
Background of the Study
Cardiovascular diseases (CVDs) are among the leading causes of morbidity and mortality worldwide, with a signific...
The Impact of Participatory Governance on Policy Formulation in Dala LGA, Kano State: A Case Study of Community-Driven Projects
Background of the Study
Participatory governance, which involves active citizen engagement in decision-making processes,...
EVALUATION OF THE USE OF TENDERS IN PUBLIC SECTOR PROCUREMENT
ABSTRACT
The subject matter of this study is to carefully evaluate the use of tenders in the public sector procurement....
An Investigation of the Role of Medication Adherence in the Recovery of Patients with Schizophrenia: A Case Study of Federal Neuropsychiatric Hospital, Lagos State
Background of the Study
Schizophrenia is a chronic and severe mental health disorder that often require...
An Assessment of the impact of inclusive education policies on student enrollment in Gombe LGA, Gombe State
Background of the Study
Inclusive education policies are designed to ensure that every child, regardless of their abilities or disabil...
The impact of government policy shifts on early childhood education infrastructure in Garko Local Government Area, Bauchi State
Background of the Study
Government policies play a crucial role in shaping the educational landscape, par...
