Hernandez-de-Menendez Marcela, Morales-Menendez Ruben, Escobar Carlos A, Arinez Jorge
Tecnológico de Monterrey, Av. E Garza Sada 2501, 64849 Monterrey, NL Mexico.
General Motors, Global Research and Development, Warren, MI USA.
Int J Interact Des Manuf. 2021;15(2-3):365-380. doi: 10.1007/s12008-021-00760-6. Epub 2021 Jul 28.
Educational institutions are acquiring novel technologies to help make their processes more efficient and services more attractive for both students and faculty. Biometric technology is one such example that has been implemented in educational institutions with excellent results. In addition to identifying students, access control, and personal data management, it has critical applications to improve the academic domain's teaching/learning processes. Identity management system, class attendance, e-evaluation, security, student motivations, and learning analytics are areas in which biometric technology is most heavily employed. A literature review is performed to present an overview of biometric technology applications for educational purposes, challenges that must overcome to implement biometric technology, and potentially foreshadowing trends effectively. The future seems promising for biometric technology; the biometric technology market is expected to reach a value of USD 94 billion by 2025 at a compound annual growth rate of 36%. New characteristics are under development for commercial applications, such as vascular pattern recognition, ear shape recognition, facial thermography, odor sensing, gait recognition, heartbeat authentication, brain waves, and human body bioacoustics. The biggest challenge this technology must overcome is security and privacy issues, which must be addressed to fully develop the technology to its full potential. It is desirable that this literature review can provide researchers with a sound vision of the potential that biometric technology will have in education.
教育机构正在获取新技术，以帮助提高其流程效率，并使服务对学生和教师更具吸引力。生物识别技术就是这样一个例子，它已在教育机构中得到应用并取得了出色的成果。除了识别学生、进行访问控制和管理个人数据外，它在改善学术领域的教学/学习过程方面也有至关重要的应用。身份管理系统、课堂考勤、电子评估、安全、学生激励和学习分析是生物识别技术应用最为广泛的领域。本文进行了文献综述，以概述生物识别技术在教育领域的应用、实施生物识别技术必须克服的挑战以及可能有效预示的趋势。生物识别技术的未来似乎很有前景；预计到2025年，生物识别技术市场价值将达到940亿美元，复合年增长率为36%。商业应用正在开发新的特性，如血管模式识别、耳部形状识别、面部热成像、气味传感、步态识别、心跳认证、脑电波和人体生物声学。这项技术必须克服的最大挑战是安全和隐私问题，必须解决这些问题才能充分发挥该技术的全部潜力。希望这篇文献综述能为研究人员提供关于生物识别技术在教育领域潜力的清晰展望。
