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Adaptive e-Learning System: A State of Art
| 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
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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