Aided Contents Supporting Service for e-Learning Systems

doi:10.5121/ijdps.2012.3126

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Periodical Articles > Item 310902800/26975

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/26975

Title:	Aided Contents Supporting Service for e-Learning Systems
Authors:	Wang, Chih-Ming Chiang, Ming-Chao Yang, Chu-Sing Tsai, Chun-Wei
Contributors:	應用空間資訊系
Keywords:	Information retrieval e-Learning Aided contents
Date:	2011-07
Issue Date:	2013-10-14 14:57:45 (UTC+8)
Abstract:	In this paper, we present a novel method for automatically augmenting the learning contents of an e-Learning system, called Aided Contents Supporting Service (or ACSS for short). The proposed method starts off with the examination subsystem of which the exam items are the main learning contents. Then, motivated by the desire to provide the users of such a system with more contents, ACSS will automatically extract concepts associated with each exam item when it is being read. The key concepts associated with the exam items can even be sent as queries to content search engines to get more contents to aid learning. Moreover, the aided contents can be accumulated, ranked, and shared by the users of such a system. Our simulation results indicate that the proposed method can effectively _nd and integrate many more relevant contents into an e-Learning system. Besides, as a testbed, we not only apply the proposed method to an e-Learning system we develop, but we also use the grid computing technology to speed up the performance of the proposed method.
Relation:	International Journal of Innovative Computing, Information and Control , 7(7A), pp.4005-4028
Appears in Collections:	[Dept. of Applied Geoinformatics] Periodical Articles

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