DocumentCode :
1796519
Title :
A framework for mobile elearning (mLearning) with analytical decision model
Author :
Dewan, Jahangir ; Chowdhury, Mashrur
Author_Institution :
Sch. of Inf. Technol., Deakin Univ., Melbourne, VIC, Australia
fYear :
2014
fDate :
June 30 2014-July 2 2014
Firstpage :
1
Lastpage :
5
Abstract :
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.
Keywords :
computer aided instruction; graph theory; mobile computing; statistical analysis; analytical decision model; bipartite graph; content authentication; graph-based model; mLearning system; mobile elearning; personal mLearning; smart mobile devices; statistical estimation process; Authentication; Bipartite graph; Educational institutions; Electronic learning; Mobile communication; Social network services; Bipartite Matching; Confidence Interval; Content Authentication; Hypothesis Test; eLearning; mLearning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2014 15th IEEE/ACIS International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/SNPD.2014.6888702
Filename :
6888702
Link To Document :
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