Comparative Study of Traditional and AI-Based Attendance Monitoring Systems: A Case Study of Federal Polytechnic, Idah (Idah LGA, Kogi State)
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Attendance monitoring is a critical aspect of academic administration in universities and polytechnics. Federal Polytechnic, Idah, located in Idah LGA, Kogi State, faces challenges with the traditional attendance monitoring system, which relies on manual recording or paper-based methods. These systems are prone to errors, delays, and are time-consuming. With the advancements in artificial intelligence (AI), automated attendance monitoring systems have become increasingly popular for improving accuracy and efficiency.
This study aims to compare the effectiveness of traditional attendance systems with AI-based systems, such as facial recognition and RFID, at Federal Polytechnic, Idah. By exploring both methods, the research will evaluate the advantages and limitations of each system, particularly in terms of accuracy, ease of implementation, and student satisfaction.
Statement of the Problem
The traditional attendance monitoring system at Federal Polytechnic, Idah is prone to human error, time wastage, and inefficiency. The need for an automated solution that improves the accuracy of attendance tracking and reduces administrative overhead is critical. AI-based attendance systems offer a potential solution, but their effectiveness in this context has not been fully explored.
Objectives of the Study
1. To compare the accuracy and efficiency of traditional and AI-based attendance monitoring systems at Federal Polytechnic, Idah.
2. To assess the ease of implementation and usability of AI-based attendance systems in a university setting.
3. To investigate the student and staff perceptions of AI-based attendance systems.
Research Questions
1. How does the accuracy of AI-based attendance systems compare to traditional attendance methods?
2. What are the benefits and drawbacks of using AI-based attendance monitoring systems in a university environment?
3. How do students and staff perceive the use of AI for attendance tracking?
Research Hypotheses
1. AI-based attendance monitoring systems will be more accurate and efficient compared to traditional methods.
2. Students and staff will have a more positive perception of AI-based attendance systems than traditional ones.
3. The implementation of AI-based attendance systems will reduce administrative workload and improve attendance accuracy at Federal Polytechnic, Idah.
Significance of the Study
This study will provide insights into the potential benefits of AI-based attendance systems, demonstrating their effectiveness in improving accuracy, efficiency, and administrative processes. It will contribute to the wider adoption of AI technology in higher education institutions, especially in the context of attendance management.
Scope and Limitations of the Study
The study will focus on comparing traditional and AI-based attendance systems at Federal Polytechnic, Idah. It will not delve into other aspects of academic administration or broader AI applications in higher education.
Definitions of Terms
• AI-Based Attendance System: A system that uses artificial intelligence (e.g., facial recognition, RFID) to automatically track student attendance.
• Traditional Attendance System: The manual or paper-based method of recording student attendance, which may include roll calls or sign-in sheets.
• Facial Recognition: A biometric technology that uses facial features to identify individuals, often used in automated attendance systems.
Related Project Materials
The Effect of National Health Insurance on Emergency Nursing Care in Adamawa State Specialist Hospital
Background of the Study
National health insurance (NHI) programs are designed to ens...
An assessment of language and ethnic identity in Nsukka Local Government Area, Enugu State
Background of the Study
In Nsukka Local Government Area, language serves as a critical marker of ethnic identity, encapsula...
A comparative study of performance marketing on customer acquisition costs: Evidence from a fintech firm in Kano, Nigeria
Background of the study
Performance marketing is increasingly being adopted by fintech firms as a strategic approach to minimize customer...
The Challenges of Implementing International Auditing Standards in Katsina-Ala Local Government Area
Background of the Study
International auditing standards are critical for ensuring the transparency and reliability of f...
WASTE MANAGEMENT AS A TOOL FOR REVENUE GENERATION (A CASE STUDY OF RIWAMA RIVERS STATE)
ABSTRACT
Waste management has been important since time immemorial. With the unprecedented increase in population worldwide, especially...
The impact of social media narratives on political polarization: An evaluation of a political discourse in Abuja.
Background of the Study
Social media narratives have increasingly become a driving force in shaping pol...
An Investigation of Digital Code Switching in Nigerian Online Communities: A Case Study of WhatsApp and Facebook
Background of the study
Digital code switching, the practice of alternating between languages or dialects within a single conversation, h...
An assessment of the impact of traditional religious practices on archaeological conservation in Ikirun Local Government Area, Osun State
Background of the Study:
Traditional religious practices in Ikirun have long intertwined with community li...
The Impact of Stigma on Tuberculosis Treatment Adherence in Kogi State
Background of the Study
Tuberculosis (TB) remains a major public health challenge in Nigeria, with Kogi State being one of the affected r...
PERFORMANCE EVALUATION OF MOBILE NETWORK SERVICES IN SHIRORO POWER STATION, NIGERIA
ABSTRACT
In this work, performance of four mobile network operators (MNOs) was measured, analysed, and evaluated in Shiroro Power Station...
