Kotevski, Zoran and Blazheska-Tabakovska, Natasha and Dimovski, Tome (2020) Web-Based Solution for Student Attendance Tracking: Development and Evaluation. In: AIIT 2020 – International Conference on Applied Internet and Information Technologies, 16 October 2020, Zrenjanin, Serbia.
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Abstract
In present times, student attendance tracking systems are primarily based on contemporary identification technologies. These technologies comprise RFID, Bluetooth, Barcode and several biometric such as Fingerprint, Voice and Face recognition. Some solutions employ web technologies only, and offer attendance tracking services over the Internet. All the different types of attendance tracking systems are built on IP infrastructures, but exhibit different performance that make them more or less suitable for use in classrooms. This paper, at first, presents a review of existing systems and technologies for attendance tracking, identifying certain issues concerning their performance. For the most part, it appears that biometric systems exhibit insufficient accuracy, while RFID systems inquire higher implementation and maintenance costs. Barcode systems generally suffer from longer registration durations and Bluetooth systems are affected by distance. The focus of the research is put on the development and performance evaluation of a custom student attendance tracking solution, built on current, free and open source web technologies. The goal was to make an effort to surpass some disadvantages identified in other systems. The developed solution, entitled RENAP, is implemented at a University in Macedonia, whose performance assessment revealed that it excels at several aspects, including accuracy, swiftness, affordability, easiness of usage and flexibility.
| Item Type: | Conference or Workshop Item (Other) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Prof. d-r. Zoran Kotevski |
| Date Deposited: | 08 Nov 2020 15:11 |
| Last Modified: | 08 Nov 2020 15:11 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/5877 |
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