2026 ASEE Annual Conference & Exposition

This paper presents the design, implementation, and evaluation of a QR code-based automated attendance tracking system designed to enhance classroom management, efficiency, and participation analysis. Accurate attendance tracking is essential for monitoring student engagement and supporting academic performance; however, conventional methods, such as paper sign-in sheets or manual Learning Management System (LMS) entries, are often time-consuming and error-prone. The developed application automates this process by allowing students to scan personalized QR codes, which securely log their names, IDs, and timestamps and produce Excel files. This system was employed in three courses during the Fall 2025 semester, successfully reducing paperwork, minimizing human error, and familiarizing students with real-world applications of machine vision and data automation. A post-implementation survey of 37 students revealed that over 80% found the system easy or very easy to use, and 70% reported completing the QR check-in process in under ten seconds. Most users (78%) rated the system as reliable, while only a small percentage reported minor technical issues during initial use. Additionally, students identified key advantages, including time savings, improved record-keeping, and encouragement to stay engaged with the course content rather than waiting for the signing sheet. Overall, the system demonstrated high usability, reliability, and efficiency, confirming its potential as a practical digital solution for automated classroom attendance tracking. Suggestions for future improvement included adding real-time confirmation, attendance summaries, and gamification elements to increase engagement.