Vol.13, No.1, February 2024.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Systematic Literature Review: Biometric Technology Applied to Educational Institutions


Jorge Isaac Necochea-Chamorro, Carlos Manuel Sotelo Asalde, Mariella Elizabeth Loli Nuñez, Yesenia del Rosario Vasquez Valencia


© 2024 Jorge Isaac Necochea-Chamorro, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 13, Issue 1, Pages 570-580, ISSN 2217-8309, DOI: 10.18421/TEM131-60, February 2024.


Received: 25 September 2023.

Revised:   09 January 2024.
Accepted: 19 January 2024.
Published: 27 February 2024.




Biometric technology, founded on recognizing distinctive individual features, enhances identification and automation, yielding personal and institutional benefits. This literature review employs the Kitchenham and Charters methodology to analyze recent perspectives on biometric technology in educational time and attendance. The analysis identifies benefits, such as preventing impersonation and enhancing data security, but emphasizes concerns about biometric alterations and hardware/software failures hindering optimal outcomes. A noteworthy trend is adopting a bimodal behavioral approach in biometric technologies in education. The study recommends research avenues focusing on privacy safeguards, biometric system robustness, and technological resilience. Beyond mere identification, a shift towards quantitative and descriptive methods is proposed, guiding future research. The results underscore the importance of a multimodal approach and stringent security measures to address biometric system vulnerabilities. Future exploration should consider integrating emerging technologies to enhance system resilience and data protection, providing a comprehensive guide for refining and expanding biometric technology applications in education.


Keywords –Biometrics, biometric technology, time and attendance, education, fingerprint.



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