An Extendable Software Architecture for Personalized E-Learning systems
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10.5120/4053-5819 |
Omid Bushehrian and Robert Khaldar. Article: An Extendable Software Architecture for Personalized E-Learning systems. International Journal of Computer Applications 33(10):1-6, November 2011. Full text available. BibTeX
@article{key:article,
author = {Omid Bushehrian and Robert Khaldar},
title = {Article: An Extendable Software Architecture for Personalized E-Learning systems},
journal = {International Journal of Computer Applications},
year = {2011},
volume = {33},
number = {10},
pages = {1-6},
month = {November},
note = {Full text available}
}
Abstract
In this paper an extendable e-learning software architecture which supports personalized learning paths is presented. Any e-learning software which is designed based on this architecture can benefit from the loosely coupled interconnection among three main components of a personalized e-learning software: Workflow Management Engine (WFME), Recommender Component (RC) and Learner Interaction Component (LIC). By following this architecture the personalization method of the e-learning system which is implemented by RC component is very easy (open) to extend or change regarding the needs or strategies of a specific e-learning system. To achieve this, in this paper an FSP based method is proposed for designing a reusable WFME component. This component can be reused in any e-learning software which follows the proposed architecture.
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