Implementation of Ubiquitous Learning System Using Sensor Technologies

K. Mandula, S. R. Meda, D. Jain, R. Kambham
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引用次数: 26

Abstract

Electronic learning(e-learning) is used to access the learning content using desktop computers. But the limitation with e-learning is its immobility. Mobile learning(mlearning) is an advanced stage of e-learning where in the learner is equipped with handheld mobile device to access the learning content using various wireless technologies. Though m-learning provides mobility, it is not context sensitive. A new mode of learning mechanism called ubiquitous learning(u-learning) is context aware and also provides learning content anywhere, anytime using various mobile devices and sensor technologies. The real challenge in u-learning is the delivery of learning content to mobile devices depending upon surrounding context. Context plays an important role in delivering the right content to the right person, in the right place and at the right time. Though there are various contextual parameters that can be considered, here we deal with location context in particular. In this paper, various mobile computing technologies, context awareness and its relevance to u-learning are discussed. Also, the usage of RFID for u-learning is explained by implementing two different models 1. RFID based Content Presentation and 2. Location Based Services(LBS) using RFID. A pilot experiment was conducted with students to evaluate the functionality of the proposed models and results are analysed for further improvements.
利用传感器技术实现泛在学习系统
电子学习(e-learning)是指使用台式计算机访问学习内容。但电子学习的局限性在于它的不动性。移动学习(mlearning)是电子学习的高级阶段,学习者配备手持移动设备,使用各种无线技术访问学习内容。虽然移动学习提供了移动性,但它对环境不敏感。一种新的学习机制模式被称为泛在学习(u-learning),它是上下文感知的,并且可以使用各种移动设备和传感器技术随时随地提供学习内容。u-learning的真正挑战在于如何根据周围环境将学习内容传送到移动设备。语境对于在正确的时间、正确的地点将正确的内容传递给正确的人起着重要的作用。虽然可以考虑各种上下文参数,但这里我们特别处理位置上下文。本文讨论了各种移动计算技术、上下文感知及其与u-learning的相关性。此外,通过实现两种不同的模型1来解释RFID在u-learning中的使用。2.基于RFID的内容表示和使用RFID的基于位置的服务(LBS)。与学生一起进行了一个试点实验,以评估所提出模型的功能,并分析结果以进一步改进。
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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