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Concurrent self-identification applying QR code to record class attendance (QRClass)

Author(s)
Nalintipwong, Srinual
Tasarika, Thanarat
Ruksomya, Chayut
Vittayakorn, Sirion
Numnonda, Thanisa
Date Issued
July 1, 2019
Type
Conference Paper
DOI
10.1109/ICEIEC.2019.8784518
Abstract
The traditional way of recording student attendance is that an instructor calls student names one by one and records their absence or presence status. It usually consumes much time and sometimes causes errors. Therefore, some instructors may choose not to record student attendance, and this could affect academic learning and outcome. Although many self-identification methods have been explored, the entire processing time is similar to the traditional one. Hence, to solve such the problem, this research proposes a methodology to develop a concurrent class attendance system applying QR code, called QRClass. The results show that the processing time of QRClass is reduced by approximately 93.14% for 49 students compared to the traditional way. Therefore, QRClass is not only require less processing time, but also significantly increase the effectiveness of the class attendance recording method.
Citation
Iceiec 2019 Proceedings of 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication, 638-642, 2019
Subjects

class attendance

QR code

self-identification

Metrics
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