Title: Automated attendance management systems: systematic literature review

Authors: Nabeel Salih Ali; Ahmed Hazim Alhilali; Hasanein D. Rjeib; Haider Alsharqi; Basheer Al-Sadawi

Addresses: Information Technology Research and Development Centre, University of Kufa, Kufa, Najaf, Iraq ' Information Technology Research and Development Centre, University of Kufa, Kufa, Najaf, Iraq ' Faculty of Engineering, University of Kufa, Kufa, Najaf, Iraq ' Information Technology Research and Development Centre, University of Kufa, Kufa, Najaf, Iraq ' Information Technology Research and Development Centre, University of Kufa, Kufa, Najaf, Iraq

Abstract: Attendance systems have been rated as amongst the critical issues that reflect domain achievements, and their performances have contributed better to organisations, industries and universities compared with traditional methods that are time-consuming and inefficient. Different automatic identification technologies have become trends, and extensive research conducted and many applications produced to maximise technology features. To address issues related to attendance system technologies, including the advantages, schemes and methods and obstacles, we present a structured review of attendance management systems, with high potential for managing, recording and tracking the presence of users in different domains. Additionally, this study introduces a detailed literature survey schema for article categorisation. Out of the 204 identified papers, 90 were found relevant in the context of this review. The selected articles are comprehensively reviewed, criticised and assessed in accordance with Kitchenham's guidelines for systematic literature review. Lastly, we highlight the significant direction required for future research.

Keywords: AMS; attendance management system; attendance systems; automated registration; automatic; RFID; barcode; biometric; magnetic stripe.

DOI: 10.1504/IJTEL.2022.120559

International Journal of Technology Enhanced Learning, 2022 Vol.14 No.1, pp.37 - 65

Received: 21 Nov 2019
Accepted: 15 Jul 2020
Published online: 26 Jan 2022 *

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