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Reseach Article

Fuzzy Grading for Content Management in E-Learning Systems

by Neeraj Kharya, Sanjay Sharma, Ani Thomas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 18
Year of Publication: 2010
Authors: Neeraj Kharya, Sanjay Sharma, Ani Thomas
10.5120/377-562

Neeraj Kharya, Sanjay Sharma, Ani Thomas . Fuzzy Grading for Content Management in E-Learning Systems. International Journal of Computer Applications. 1, 18 ( February 2010), 86-88. DOI=10.5120/377-562

@article{ 10.5120/377-562,
author = { Neeraj Kharya, Sanjay Sharma, Ani Thomas },
title = { Fuzzy Grading for Content Management in E-Learning Systems },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 18 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 86-88 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number18/377-562/ },
doi = { 10.5120/377-562 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:47.207081+05:30
%A Neeraj Kharya
%A Sanjay Sharma
%A Ani Thomas
%T Fuzzy Grading for Content Management in E-Learning Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 18
%P 86-88
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The authors are motivated by the concept of refinement in e-learning systems so as to provide more support for the e-learners. A technique has been proposed for providing a customized knowledge in the form of graphics, text, analogy etc by grading mechanism using fuzzy techniques through which the knowledge level of user or learner can be determined and enhanced. It is impossible to satisfy every learner with a single example, so there arises the need of a system which would take feedback from the learner and dynamically customize the learning materials as per the understanding level of the end-user or learner. The content Management Tool (CMT) of the proposed framework of Expert E- Tutoring system plays a vital role for extracting the required contents from content repository by making use of fuzzy techniques. The proposed framework may also keep track of users' learning capability based on fuzzy grading on a given topic, which helps to refine the e-learning content appropriately for the use of a learner.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Content Management tool Knowledge Management E-Tutoring Fuzzy Grading Content Customization