Context-Driven Mobile Learning Using Fog Computing

Hameed Pinjari, Anand Paul, Gwanggil Jeon, Seungmin Rho
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引用次数: 9

Abstract

There has been a rapid development in mobile, cloud computing and sensor technologies which enables learners to learn more effectively, flexibly and efficiently from anywhere. Using mobile devices for learning exploits the features of mobile computing such that they can be used to develop customizable systems that help in context-aware learning. Mobile learning refers to the use of mobile devices for the purpose of learning while on the move. In this paper we propose to apply fog computing in mobile learning in order to achieve efficient context-aware learning. Using fog computing reduces the latency and the time complexity of using a mobile learning application.
使用雾计算的上下文驱动的移动学习
移动、云计算和传感器技术的快速发展使学习者能够在任何地方更有效、灵活和高效地学习。使用移动设备进行学习利用了移动计算的特性,这样它们就可以用来开发有助于上下文感知学习的可定制系统。移动学习是指在移动中使用移动设备进行学习。本文提出将雾计算应用于移动学习,以实现高效的上下文感知学习。使用雾计算减少了使用移动学习应用程序的延迟和时间复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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