Systematic Literature Review: Biometric Technology Applied to Educational Institutions

TEM Journal Pub Date : 2024-02-27 DOI:10.18421/tem131-60
Jorge Isaac Necochea-Chamorro, Carlos Manuel Sotelo Asalde, Mariella Elizabeth Loli Nuñez, Yesenia del Rosario Vásquez Valencia
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Abstract

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.
系统文献综述:生物识别技术在教育机构中的应用
生物识别技术建立在识别个人独特特征的基础上,可提高身份识别和自动化水平,为个人和机构带来益处。本文献综述采用 Kitchenham 和 Charters 方法,分析了教育考勤中生物识别技术的最新观点。分析指出了生物识别技术的好处,如防止冒名顶替和提高数据安全性,但也强调了对生物识别技术改动和硬件/软件故障阻碍取得最佳成果的担忧。一个值得注意的趋势是在教育领域的生物识别技术中采用双模行为方法。研究建议了一些研究途径,重点是隐私保护、生物识别系统的稳健性和技术复原力。除了单纯的识别之外,还建议转向定量和描述性方法,以指导未来的研究。研究结果强调了采用多模式方法和严格的安全措施来解决生物识别系统漏洞的重要性。未来的探索应考虑整合新兴技术,以增强系统复原力和数据保护,为完善和扩大生物识别技术在教育领域的应用提供全面指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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