Abstract
Student lateness has become a common issue in educational institutions, affecting both academic performance and discipline. This research aims to analyse the patterns of student lateness, identify key reasons behind it, and propose effective solutions. By using real-time entry and exit data, we can track student punctuality trends and understand the impact of factors like distance from home, class schedules, and personal habits. To better understand and address this issue, our research focuses on analysing student lateness patterns using automated attendance tracking and data-driven insights. In this study, we developed an Intelligent ID-Based student Tracking System using React.js for the front end, Node.js and Express.js for the backend, and MongoDB for database storage. The system records student entry and exit times using ID card scans, providing real-time tracking of late students, and recurring patterns linked to specific days, weather conditions, or class schedules. The goal is to determine the most common causes of lateness and suggest effective measures to reduce it. One of the aspects of this research is evaluating how lateness varies among different student groups. Some students arrive late occasionally, while others have a consistent pattern of tardiness. By categorizing students based on their attendance behaviour, institutions can implement targeted interventions, such as personalized remainders, stricter polices, or even counselling sessions for students struggling with time management. Additionally, our system sends automated email notifications to students and their guardians when lateness is detected, ensuring greater accountability.
Keywords
Student Lateness, Punctuality Analysis, Academic Performance, Time Management, Student Behaviour Analysis, Campus Discipline, Automated Tracking System
Citations
IRE Journals:
Nikhil Mamindla , Gopinath Mandhate , Sharanya Alluri , Dr. S. Venu Gopal
"Analysing Student Lateness: Insights from a Smart Attendance Tracking System" Iconic Research And Engineering Journals Volume 8 Issue 10 2025 Page 673-678
IEEE:
Nikhil Mamindla , Gopinath Mandhate , Sharanya Alluri , Dr. S. Venu Gopal
"Analysing Student Lateness: Insights from a Smart Attendance Tracking System" Iconic Research And Engineering Journals, 8(10)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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