Fog-assisted virtual reality-based learning framework to control panic

The biggest challenges for several universities and educational institutions throughout the COVID-19 pandemic are online and e-learning infrastructure availability. The incorporation of Information and Communication Technologies in the domain of disaster management is one such dimension, which focuses on the sustainability of human beings regarding the handling of unexpected pandemics. Therefore, it is important to evaluate the panic well-being of the student in this situation. Moreover, virtual reality technology provides a virtual classroom environment that improves the skill and knowledge of the students at remote sites. In this paper, a fog-assisted cyber physical system is proposed that deals with the various aspects of the panic well-being of the student, including the virtual reality platform for remote learning. The proposed system utilizes the concepts of physical and cyberspace. The physical space facilitates real-time data acquisition, and cyberspace determines and predicts the panic well-being of the student. The performance assessment of the proposed model acknowledges the efficiency of the virtual learning system and panic well-being determination and prediction. The proposed system also discussed a virtual learning system that provides a virtual classroom environment to the students at remote sites and reduces the panic due to stressful times during the COVID-19 pandemic.