物联网在教育领域的发展趋势与挑战

Ahmad Anwar Zainuddin, Soumik Bhattacharjee, Shivank Kalliat, Sahara Shrestha, Sivaranjini Sivaraman, Muhammad Maaz Khalique, Denan Raj Naidu, Puvanaah Manokaran
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引用次数: 1

摘要

近年来,信息技术领域的进步对所有可以利用数据分析能力进行决策的领域都产生了非常大的影响。在教育和培训领域,新思想以其传统方法得到了实施。物联网(IoT)的出现使得数据的监控和跟踪变得非常高效。数据可以来自各种来源,从可穿戴设备到智能类对象。为了释放这项技术的真正潜力,教育工作者被敦促在他们的课程中引入物联网,以帮助加快这一进程。在本研究中,对可穿戴设备在教育、职业培训、医疗培训、绿色物联网和智慧城市等领域的研究进行了综述。还探讨了机器学习(ML)在物联网中的实现,证明了其在聚类和分类等任务中的可行性。然而,即使在物联网和教育领域有大量的研究,但成功的实施相对较少,从而成为当前研究的瓶颈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trends and Challenges of Internet-of-Things in the Educational Domain
The advancements in the field of information technology in recent years have been very influential in affecting all domains that can utilize the power of data analysis for making decisions. Such domains that have been seeing new ideas implemented in their conventional methods are that of education and training. The advent of Internet of Things (IoT) has made monitoring and tracking of data very efficient. Data can come from a variety of sources, from wearables to smart class objects. To unlock the true potential from this technology, educators are urged to introduce IoT in their curriculum to help speed up the process. In this study, the various studies in the fields of wearables in education, vocational training, medicinal training, Green IoT and Smart City are reviewed. The implementations of Machine Learning (ML) in IoT are also explored, proving its viability in tasks such as bunching and classification. However, even with the abundant studies in the fields of IoT and education, its successful implementations are relatively scarce, thus bottlenecking current research.
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