Trends and Challenges of Internet-of-Things in the Educational Domain

Abstract

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.