A SCORM-based Caching Strategy for Supporting Ubiquitous Learning Environment

doi:10.1007/11839569_54

機構典藏 > College of Engineering > Graduate Institute & Department of Computer Science and Information Engineering > Proceeding > Item 987654321/37134

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/37134

Title:	A SCORM-based Caching Strategy for Supporting Ubiquitous Learning Environment
Authors:	Sie, Yun-long;Wang, Te-hua;Chang, Hsuan-pu;Chang, Shu-nu;Shih, Timothy K.
Contributors:	淡江大學資訊工程學系
Keywords:	Ubiquitous Learning;Distance Learning;SCORM;Caching;Agent
Date:	2006-09
Issue Date:	2010-01-11 12:27:24 (UTC+8)
Abstract:	With respect to the diverseness of learning devices and the different conditions of the internet connection availability, users might confront with some inevitable problems in traditional distance learning environment. The learning activities are always interfered while the network connection is failed. Furthermore, the learning contents become more and more miscellaneous with on-line multimedia presentations, and it is necessary for learners to wait for the learning resources to be downloaded from the remote learning server. In this paper, we propose a solution, called Caching Strategy, to solve those issues under the ubiquitous learning scope. According to some specific factors, we aim to provide the most needed learning resources for learners on the mobile learning devices even if the internet connection is not available intermittently. With our proposed methods, the waiting time of learning contents delivery can be reduced as well to smooth the learning activities online. In order to increase the efficiency of the strategy, we carefully examine some specific factors about the learning sequencing defined in the Sharable Content Object Reference Model (SCORM). After applying this strategy to distance learning system, the efficient ubiquitous learning will be easier to come true.
Relation:	The 3rd International Conference on Autonomic and Trusted Computing, pp.551-560, China
DOI:	10.1007/11839569_54
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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