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Recommender System based on Learner Knowledge and Opining using Data Mining Techniques in Synchronous E-Learning Environment

by Mohammad Daoud, Asad Ahmad, Alok Nikhil Jha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 14
Year of Publication: 2015
Authors: Mohammad Daoud, Asad Ahmad, Alok Nikhil Jha
10.5120/20407-2763

Mohammad Daoud, Asad Ahmad, Alok Nikhil Jha . Recommender System based on Learner Knowledge and Opining using Data Mining Techniques in Synchronous E-Learning Environment. International Journal of Computer Applications. 116, 14 ( April 2015), 27-33. DOI=10.5120/20407-2763

@article{ 10.5120/20407-2763,
author = { Mohammad Daoud, Asad Ahmad, Alok Nikhil Jha },
title = { Recommender System based on Learner Knowledge and Opining using Data Mining Techniques in Synchronous E-Learning Environment },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 14 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number14/20407-2763/ },
doi = { 10.5120/20407-2763 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:57:08.696221+05:30
%A Mohammad Daoud
%A Asad Ahmad
%A Alok Nikhil Jha
%T Recommender System based on Learner Knowledge and Opining using Data Mining Techniques in Synchronous E-Learning Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 14
%P 27-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Learners are often getting uncertainty by the flow of information and have trouble in selecting the material to learn that satisfies their requirements and interests. It is the fact that the learners 'learning interest, and behaviour changes over the time and subject to subject. It is very important, thus, to know learner preferences and what problem he/she faces during the programme. In this paper, our aim to address a novel framework for an e-learning recommender system that used data mining techniques to find learner preferences and requirements from their opinion. Make a more relevant relationship between learner and his/her preferences. Proposed framework is based on opinion and the knowledge level of learner.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Recommendation System Structured and unstructured data Learner Opinion Clustering

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