A Framework for Mobile eLearning (mLearning) with Analytical Decision Model

被引:0
|
作者
Dewan, Jahangir [1 ]
Chowdhury, Morshed [1 ]
机构
[1] Deakin Univ, Sch Informat Technol, Melbourne, Vic, Australia
来源
2014 15TH IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD) | 2014年
关键词
eLearning; mLearning; Content Authentication; Bipartite Matching; Confidence Interval; Hypothesis Test;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mobile eLearning (mLearning) can create a revolution in eLearning with the popularity of smart mobile devices and Application. However, contents are the king to make this revolution happen. Moreover, for an effective mLearning system, analytical aspects such as, quality of contents, quality of results, performance of learners, needs to be addressed. This paper presents a framework for personal mLearning. In this paper, we have used graph-based model called bipartite graph for content authentication and identification of the quality of results. Furthermore, we have used statistical estimation process for trustworthiness of weights in the bipartite graph using confidence interval and hypothesis test as analytical decision model tool.
引用
收藏
页码:177 / 181
页数:5
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