Abstract
According to a 2015 student mobile device survey by Pearson company, nearly 86% of college students owns smartphones, up from just 50% in 2011 [1]. This indicates the use of smartphones among students is fairly high and the numbers are expected to increase further based on sustained growth trajectory in the past. This indicates the use of smartphones among students is fairly high and the number should reach 100% by now. Based on these findings, an automated attendance system with the help of indoor location-based service in smartphones might be the answer to a sustainable automated attendance system. On this basis, the research proposes to analyze and evaluate the attendance taking process in order to develop a sustainable location-based attendance verification and monitoring system. In doing so, the system looks to ease the burden on people like office workers, lecturers and students when recording attendance by providing an easy way for people to register their attendance using their smartphones. The location-based attendance system is a system used to monitor the student attendance in real time through MIMOS Mi-ILP platform, which primarily uses wireless fingerprinting technique to perform real-time indoor positioning [10]. The proposed system will fetch attendance data in the form of timestamps, which will be manipulated and used for student attendance monitoring and generation of statistical data in real time. The attendance will be marked by the students themselves, and will be stored in the server, thus saving the lecturers time and effort. This system will be beneficial for both lecturers and the students as it simplifies the process, gives additional lecture time, and makes it efficient by avoiding proxy attendance or cheating. Thus, LAS web application is a flexible, and convenient solution to have a tension free attendance, which will aid both students and lecturers to concentrate on their main tasks and help the administrative system to efficiently monitor their students.
Original language | English |
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Pages (from-to) | 26-36 |
Number of pages | 11 |
Journal | Journal of Advanced Research in Dynamical and Control Systems |
Volume | 10 |
Issue number | 12 |
Publication status | Published - 2018 |
Externally published | Yes |
Keywords
- Automated attendance
- Component
- Location-based
- Mi-ILP
- Real time monitoring (key words)
- Smartphone
- Wi-fi fingerprinting
ASJC Scopus subject areas
- General Computer Science
- General Engineering