Development of an Intelligent Dashboard for Surveillance in Online Learning Platform via Internet of Things Technology

COVID-19 pandemic situation made educational institutions worldwide shift towards online learning formats to minimize the spread of the virus. The content of online learning includes file, text, images, audio, and video, delivered directly to learners through web browsers. Both learners and instructors can communicate, collaborate, and exchange ideas similar to traditional classrooms. Online learning networks gain significant popularity in recent times, utilizing large-scale computer network technologies. Online learning offers convenience and rapid accessibility, allowing learners to study anytime and anywhere, according to their preferences. Also, large-scale computer networks require a high reliability network with zero downtimes. Thus, this work presents an environment monitoring and controlling system via internet of things technology for SUT E-Learning system which was developed by the Suranaree University of Technology (SUT). Number of session, %CPU usage, Current, Temperature and humidity inside server room were investigated. The proposed system improves convenience for system control engineers to maintain an online learning system with low zero downtime.