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Reseach Article

Adaptive e-Learning System: A State of Art

by Soni Sweta, Kanhaiya Lal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 7
Year of Publication: 2014
Authors: Soni Sweta, Kanhaiya Lal
10.5120/18762-0046

Soni Sweta, Kanhaiya Lal . Adaptive e-Learning System: A State of Art. International Journal of Computer Applications. 107, 7 ( December 2014), 13-15. DOI=10.5120/18762-0046

@article{ 10.5120/18762-0046,
author = { Soni Sweta, Kanhaiya Lal },
title = { Adaptive e-Learning System: A State of Art },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 7 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 13-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number7/18762-0046/ },
doi = { 10.5120/18762-0046 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:40:26.077618+05:30
%A Soni Sweta
%A Kanhaiya Lal
%T Adaptive e-Learning System: A State of Art
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 7
%P 13-15
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the education system moves from print to digital classrooms, learning products will change rapidly, so academic institutions and policies must respond accordingly. Learning methods are shifting from instructor-oriented to learner-oriented-Learning, referring to learning via the Internet, provides learner with an efficient, flexible and personalized way to learn. It offers learning-on-fly and reduces overall learning cost. This paper describes the demands for e-Learning and related research, and presents a variety of data mining technologies that can integrate with e-learning system to explore the problems faced by Higher Education system and discovering underlying knowledge from Educational Data base. The aim of this paper is to describe how to make a system able to minimize learning gap from education system.

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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive e-learning Internet Data miningTechniques e-learning information system.