On the Technologies and Systems for Student Attendance Tracking

Kotevski, Zoran (2018) On the Technologies and Systems for Student Attendance Tracking. International Journal for Information Technology and Computer Science, 10 (10). pp. 44-52. ISSN 2074-9007

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Manual student attendance tracking, by calling
student names from a check list or taking students’ signs
on a paper, has gone into history. Nowadays, modern
technologies have already enabled the development of
various automatized attendance tracking systems. These
technologies include: Radio-Frequency Identification
(RFID), Biometric (fingerprint, face or voice recognition),
Barcode identification and Bluetooth communication
technologies, that are implemented over an IP
infrastructure as a platform. But, all these technologies
perform in a different manner and exhibit certain
functional limitations considering the given
implementation. The main motivation for this research
was to explore the possibilities for overcoming the issues
of current systems for attendance tracking, considering
the limitations of the technologies employed. Hence, the
core contribution of this research can be considered as a
fourfold, i.e. i) it presents the most frequently used
technologies in the development of attendance tracking
systems, ii) it reviews a range of existing student
attendance tracking systems, iii) it defines criteria for
performance evaluation of the technologies employed in
student attendance tracking, from a perspective of
educational institutions, and iv) it evaluates the mostly
used technologies according to the predefined functional
criteria. As a summary of the evaluation it provides
directions for future development of a student attendance
tracking system that would address the explored issues
and functional limitations.

Item Type: Article
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: 14 Jul 2022 08:39
Last Modified: 14 Jul 2022 08:39
URI: https://eprints.uklo.edu.mk/id/eprint/7002

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