Using Wireless Networks and Internet of Things for Enhanced Monitoring of Students During Virtual Class

Abstract

The entire educational model has undergone a significant change as a result of the Internet of Things (IoT)'s introduction to the educational sector. Universities have a significant chance to take advantage of the IoT technology in a variety of ways, including data collection and analysis to improve the educational experience, promote the achievement of learning objectives, and enhance overall school operations. Since the IoT promises, among other things, to improve education process and quality of life, as well as increase resource efficiency and management, the IoT has emerged as a highly debated research topic. Meanwhile, the Internet of things have temptation of using mobile devices and other technology while virtual session start for non-educational purpose, strength is always a reason for weakness. Therefore, student monitoring is a key part of many educational services. Especially during the virtual session. It can reduce the number of students who not completing the course, while increasing the access to education to those who really need these monitoring. In a variety of settings, wireless and mobile technologies are being used to monitor students: Courses and online sessions. The quality and dependability of student monitoring, however, have not been particularly satisfactory due to a number of restrictions, such as Wireless Networks (WN) unforeseen and fragmented coverage of users. In this study, we describe a method for monitoring students that makes use of ad-hoc Wireless Networks (ad-hoc-WN) that may be created on an ongoing basis between wearable and mobile devices. This enables the vital signs’ transmission in both routine and emergency circumstances. In order to make student monitoring through ad-hoc-WN a reality, we clarify a wireless architecture, go over emergency message routing, and bring together numerous relevant technical and non-technical difficulties. The suggested student monitoring method is made with the intention of being trustworthy and doable in the near future.