Classscan: A Smart Classroom Identification Scanner for Attendance and Access Monitoring
Authors
Romero, Oscar Jr. O.
Secondary Department, Mindanao State University – Maigo College of Education, Science and Technology, Philippines (PH)
Abestillas, Benjamin D. III
Secondary Department, Mindanao State University – Maigo College of Education, Science and Technology, Philippines (PH)
Baroro, Roy Gabriel G.
Secondary Department, Mindanao State University – Maigo College of Education, Science and Technology, Philippines (PH)
Marvin Sane W.
Secondary Department, Mindanao State University – Maigo College of Education, Science and Technology, Philippines (PH)
Boquia, Marc Gianlorenz I
Secondary Department, Mindanao State University – Maigo College of Education, Science and Technology, Philippines (PH)
Lastimoza, Troy D.
Secondary Department, Mindanao State University – Maigo College of Education, Science and Technology, Philippines (PH)
Telmosa, Allen Andrei B.
Secondary Department, Mindanao State University – Maigo College of Education, Science and Technology, Philippines (PH)
Article Information
DOI: 10.51583/IJLTEMAS.2026.150500169
Subject Category: STEM
Volume/Issue: 15/5 | Page No: 2117-2124
Publication Timeline
Submitted: 2026-06-11
Published: 2026-06-11
Abstract
Attendance monitoring is an important aspect of classroom management because it helps teachers maintain accurate student records and monitor participation. However, traditional attendance methods, such as manual roll calls and paper-based records, are often time-consuming and prone to human error. This study developed ClassScan, a smart classroom identification scanner designed to automate attendance monitoring using Radio Frequency Identification (RFID) technology. The system was developed using an ESP32 microcontroller, RFID scanner, OLED display, DS3231 Real-Time Clock module, Micro SD Card module, and ESP32-CAM. A developmental research design was employed to develop and evaluate the system. Six teacher-participants assessed the usability, effectiveness, and operational performance of the prototype through a structured evaluation questionnaire. The findings revealed that the system obtained an overall mean score of 4.48, interpreted as "Strongly Agree," indicating a high level of user acceptance. Participants reported positive perceptions regarding the system's ease of use, attendance-recording capability, and operational performance during testing. The findings suggest that ClassScan demonstrates potential as a practical attendance-monitoring solution within a localized educational setting. Further studies involving larger samples and more comprehensive validation procedures are recommended.
Keywords
RFID-Based Attendance System, Attendance Monitoring, Smart Classroom Technology, Educational Technology, ESP32, Classroom Management
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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