All-in-one, Student Information System solution for K12

This paper presents the monitoring of student attendance is a critical component in ensuring the academic success of students and maintaining the quality of education within universities. Regular class attendance is closely associated with improved academic performance and student engagement. However, traditional attendance monitoring methods, such as manual roll calls and paper-based registers, are often time-consuming, prone to errors, and susceptible to fraudulent practices. These challenges underscore the necessity for an efficient and accurate attendance tracking system that leverages modern technological advancements. This thesis aims to design and implement a comprehensive system for monitoring student attendance using advanced technological solutions. The proposed system seeks to replace traditional manual attendance methods with a more efficient, accurate, and automated approach. By integrating biometric authentication, Radio Frequency Identification (RFID) technology, and mobile application interfaces, this system offers a reliable and user-friendly solution for tracking student attendance.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-23
DOI
https://doi.org/10.5281/zenodo.14913490
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

All-in-one, Student Information System solution for K12

Zenodo (CERN European Organization for Nuclear Research)
IoT and GPS-based Vehicle Safety Systems
article

All-in-one, Student Information System solution for K12

article en

Abstract

This paper presents the monitoring of student attendance is a critical component in ensuring the academic success of students and maintaining the quality of education within universities. Regular class attendance is closely associated with improved academic performance and student engagement. However, traditional attendance monitoring methods, such as manual roll calls and paper-based registers, are often time-consuming, prone to errors, and susceptible to fraudulent practices. These challenges underscore the necessity for an efficient and accurate attendance tracking system that leverages modern technological advancements. This thesis aims to design and implement a comprehensive system for monitoring student attendance using advanced technological solutions. The proposed system seeks to replace traditional manual attendance methods with a more efficient, accurate, and automated approach. By integrating biometric authentication, Radio Frequency Identification (RFID) technology, and mobile application interfaces, this system offers a reliable and user-friendly solution for tracking student attendance.

Zenodo (CERN European Organization for Nuclear Research)
Turin Polytechnic University (UZ)
Quality Education
Openalex Percentile: Top 57%
IoT and GPS-based Vehicle Safety Systems
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