Abstract

Taking attendance in classes is a cumbersome task which can benefit from smartphone innovation. This study identifies the vulnerabilities of the technology and proposes a technique to identify cheating. Several smartphone features are proposed for collective use to improve the reliability. The first measure is by using Quick Response (QR) code as a unique token; the second measure is by using International Mobile Equipment Identity (IMEI) number as a unique identification; the third measure is by checking timestamp; and the fourth measures is by checking Global Positioning System (GPS) location of the student. Algorithm matches attendee with event using QR, identifies identify using IMEI and verify attendance using timestamp and GPS. Use cases conducted have shown feasibility in practical aspect and user acceptance. This paper evaluates reliability of the approach and inherent issues.

Highlights

  • Taking attendance is common in many educational institutions to instil discipline

  • For international students studying in some countries, the governments require universities to systemize tracking of attendance

  • The goal of this study is to propose a cost-efficient and flexible alternative that would improve attendance-taking through ubiquitous technologies such as the smart phone

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Summary

Introduction

Taking attendance is common in many educational institutions to instil discipline. Some institutions impose strict rules to ensure attainment of good student attendance. This include punitive approach such as barring students from the final examination. For international students studying in some countries, the governments require universities to systemize tracking of attendance. The Malaysian Immigration Department for instances, requires a good record as a pre-requisite for renewal of international student visas. Typical attendance-taking is done manually by educators. This could be done by calling names or by circulating the attendance form among students who attend. Manual attendance-taking is time-consuming (Čisar, Pinter, Vojnić, Tumbas, & Čisar, 2016; Lukas, Mitra, Desanti, & Krisnadi, 2016) and prone to cheating. B. Khan, Prashanth, Nomula, Pathak, & Muralidhar, 2017)

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