An Intelligent Multi-Factor Student Attendance Management System
Year: 2026
Type: conference-paper
Abstract: In the era of rapid digital transformation, the demand for innovative and reliable student attendance management systems has significantly increased. Traditional attendance systems reveal several shortcomings that negatively affect transparency and operational efficiency. This study proposes a fully digitalized attendance management system based on a Telegram bot architecture. The system utilizes cloud technologies for secure data storage and management. Attendance is recorded using the unique Telegram user identifier, which enhances transparency and minimizes bureaucratic procedures. The multi-layered structure, strong supervisory mechanisms, and automation significantly reduce fraud and limit human intervention. This approach provides a cost - effective alternative to expensive biometric hardware solutions. The paper presents the complete system architecture, the attendance acquisition process, and implementation stages. The proposed system was experimentally tested in a real classroom environment with 70 students. The results indicate a significant reduction in attendance processing time and a substantial decrease in incorrect attendance records compared to traditional methods. Future enhancements include biometric authentication expansion, AI-driven analytics, and advanced security mechanisms.
Institutions: Cyber University, Urgench State University
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W7202278635