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General Information
    • ISSN: 2382-6185
    • Abbreviated Title: Int. J. Knowl. Eng.
    • Frequency: Semiyearly
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Shira,W.Lu
    • Indexed by: Google Scholar, Crossref
    • E-mail: ijke@ejournal.net
Editor-in-chief
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2016 Vol.2(1): 20-25 ISSN: 2382-6185
doi: 10.18178/ijke.2016.2.1.045

Architecture of e-Learning

Abstract—Recent years, traditional learning has moved to electronic learning (e-learning). Many institutions and university has forced on e-learning in. In the form of e-learning, instructors and learners live in different places and they do not engage in a classroom environment, but within virtual space. There are small number of e-learning architecture have proposed in the literature. However, the proposed architecture has lack of embedding intelligent system in the architecture of e-learning. In this paper, we propose an architecture and algorithm for the problem of e-learning. This research has proposed architecture for e-learning. Thus there is intelligence built into the architecture and thus the e-learning system is automatically responsive to the user requirements.

Index Terms—PLE, VLE, algorithm, architecture, e-learning, software engineering.

Mafawez Alharbi is with the College of Science, Majmaah University, Saudi Arabia (e-mail: m.alharbi@mu.edu.sa).
Mahdi Jemmali was with the College of Science, Majmaah University, Saudi Arabia. He is also with MARS Research Unit, Monastir University (e-mail: m.jemmali@mu.edu.sa).

[PDF]

Cite: Mafawez Alharbi and Mahdi Jemmali, "Architecture of e-Learning," International Journal of Knowledge Engineering vol. 2, no. 1, pp. 20-25, 2016.

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