0704-883-0675     |      dataprojectng@gmail.com

Implementation of a Cloud-Based Student Attendance Monitoring System Using Data Science in Federal Polytechnic Bauchi, Bauchi State

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
  • Reference Style:
  • Recommended for :
  • NGN 5000

Background of the Study
Accurate monitoring of student attendance is vital for enhancing academic performance, ensuring accountability, and optimizing resource allocation. At Federal Polytechnic Bauchi in Bauchi State, traditional attendance tracking methods, often manual and paper-based, are inefficient and prone to errors. The implementation of a cloud-based student attendance monitoring system using data science techniques offers an innovative solution to these challenges. By leveraging cloud computing, the system can securely store and process attendance data in real time, allowing for remote access and analysis (Aminu, 2023). Data science techniques such as predictive analytics and anomaly detection can be applied to identify patterns in attendance behavior, flag inconsistencies, and forecast potential issues such as chronic absenteeism. This real-time data processing not only improves administrative efficiency but also enables timely interventions to support student engagement and academic success (Chinwe, 2024). The use of cloud technology ensures scalability, flexibility, and cost-effectiveness, making the system accessible to institutions with limited resources. Furthermore, the integration of mobile applications and automated alerts enhances communication between faculty, students, and administrators. Despite these advantages, challenges such as data security, user adoption, and integration with existing institutional systems must be addressed. This study aims to design and implement a cloud-based attendance monitoring system that utilizes data science to enhance accuracy, reliability, and real-time monitoring at Federal Polytechnic Bauchi. The research will evaluate the system’s impact on administrative processes and student outcomes, providing a framework that can be adapted to other educational institutions.

Statement of the Problem
Federal Polytechnic Bauchi currently faces significant challenges with its manual attendance monitoring system, which is inefficient, time-consuming, and prone to errors. The reliance on paper-based methods often results in inaccurate records, delayed reporting, and difficulties in identifying absenteeism trends (Oluwaseun, 2023). This inefficiency negatively affects administrative decision-making, resource allocation, and ultimately, student performance. Furthermore, the absence of a real-time monitoring system prevents timely interventions for students exhibiting irregular attendance patterns. Although cloud-based solutions and data science techniques have the potential to address these issues, their implementation is hindered by concerns over data security, integration with existing systems, and resistance to change among staff. This study seeks to address these challenges by developing a cloud-based student attendance monitoring system that leverages data science for real-time analysis and reporting. The research will assess whether the proposed system can improve the accuracy of attendance records, reduce administrative workload, and enhance overall student engagement. Additionally, it will identify the primary obstacles to implementation and propose strategies for overcoming them. The goal is to create a robust, scalable, and secure attendance monitoring system that can serve as a model for other institutions facing similar challenges (Ibrahim, 2024).

Objectives of the Study:

  • To design and implement a cloud-based attendance monitoring system.

  • To leverage data science techniques for real-time analysis of attendance data.

  • To identify and address challenges related to system integration and data security.

Research Questions:

  • How does a cloud-based system improve the accuracy and efficiency of attendance monitoring?

  • What role do data science techniques play in analyzing attendance trends?

  • What challenges affect the implementation of such a system, and how can they be mitigated?

Significance of the Study
This study is significant as it demonstrates the potential of cloud-based technologies combined with data science to transform student attendance monitoring at Federal Polytechnic Bauchi. The research aims to improve administrative efficiency, ensure timely interventions, and enhance overall student engagement. The findings will provide practical insights for educational administrators seeking to adopt modern, data-driven attendance systems.

Scope and Limitations of the Study:
The study is limited to the implementation and evaluation of a cloud-based attendance monitoring system at Federal Polytechnic Bauchi, Bauchi State, and does not extend to other administrative functions or institutions.

Definitions of Terms:

  • Cloud-Based System: A technology that utilizes remote servers hosted on the internet to store and process data.

  • Attendance Monitoring: The process of recording and tracking student presence in educational sessions.

Data Science Techniques: Methods used to extract insights from data, including analytics, machine learning, and statistical analysis





Related Project Materials

THE ETHICS OF TAX EVASION PERCEPTUAL EVIDENCE

ABSTRACT

The purpose of this study was to investigate the perception of tax evasion to the payment of tax on ethical reasons. A case stud...

Read more
Comparative Study of AI-Based Versus Traditional Student Performance Prediction Models in Federal University, Wukari, Taraba State

Background of the study

Predicting student performance is a critical aspect of educational management, enabling institutions to provide t...

Read more
An Examination of the Role of Internships in Developing Future Auditors: A Study of KPMG Nigeria Internship Programs

Background of the Study

Internships serve as a bridge between academic learning and practical experienc...

Read more
The impact of nutritional interventions on cognitive development in early childhood education in Garko Local Government Area, Kaduna State

Background of the Study
Nutritional interventions have gained prominence as essential strategies to suppo...

Read more
ASSESSMENT OF ENTREPRENEURSHIP COMPETENCY REQUIRED BY BUSINESS EDUCATION STUDENTS IN MANAGING SMALL SCALE ENTERPRISES IN PORT HARCOURT METROPOLIS

​​​​​​​BACKGROUND OF THE STUDY

Entrepreneurship is currently recognized as a crucial component of a cou...

Read more
An examination of the role of export diversification in reducing economic vulnerability in Nigeria: A study of Delta State

Background of the study :
Export diversification involves expanding the range of products and services a country exports to...

Read more
Design and Implementation of an AI-Based Lecture Hall Energy Consumption Optimization System in University of Maiduguri, Borno State

Background of the Study

As universities strive for sustainability, reducing energy consumption in lecture halls has become a priority. Tr...

Read more
EFFECT AND CAUSES OF CORRUPTION IN NIGERIAN PUBLIC SERVICE

ABSTRACT

The primary purpose of this study is to ascertain the effects of corruption in the Nigerian public service. The...

Read more
An Appraisal of Nurses’ Knowledge and Practices in Managing Cardiac Arrest Cases in Sokoto State

Background of the Study

Cardiac arrest is a critical medical emergency characterized by the sudden cessation of cardiac function, requiri...

Read more
An assessment of semantic ambiguity in Nigerian Pidgin among urban youth in Lagos

Background of the study
Semantic ambiguity occurs when a word or phrase has multiple interpretations, often leading to vari...

Read more
Share this page with your friends




whatsapp