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.

中文翻译：

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基于雾辅助虚拟现实的学习框架来控制恐慌

在整个 COVID-19 大流行期间，几所大学和教育机构面临的最大挑战是在线和电子学习基础设施的可用性。将信息和通信技术纳入灾害管理领域就是这样一个维度，它侧重于人类在应对意外流行病方面的可持续性。因此，重要的是评估学生在这种情况下的恐慌状态。此外，虚拟现实技术提供了一个虚拟教室环境，可以提高远程站点学生的技能和知识。在本文中，提出了一种雾辅助网络物理系统，可以处理学生恐慌健康的各个方面，包括用于远程学习的虚拟现实平台。提议的系统利用了物理和网络空间的概念。物理空间有利于实时数据采集，网络空间确定和预测学生的恐慌状态。所提出模型的性能评估承认了虚拟学习系统的效率以及恐慌幸福感的确定和预测。拟议的系统还讨论了一个虚拟学习系统，该系统为偏远地区的学生提供虚拟教室环境，并减少因 COVID-19 大流行期间的紧张时期而引起的恐慌。所提出模型的性能评估承认了虚拟学习系统的效率以及恐慌幸福感的确定和预测。拟议的系统还讨论了一个虚拟学习系统，该系统为偏远地区的学生提供虚拟教室环境，并减少因 COVID-19 大流行期间的紧张时期而引起的恐慌。所提出模型的性能评估承认了虚拟学习系统的效率以及恐慌幸福感的确定和预测。拟议的系统还讨论了一个虚拟学习系统，该系统为偏远地区的学生提供虚拟教室环境，并减少因 COVID-19 大流行期间的紧张时期而引起的恐慌。