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The effect of incorporating good learners' ratings in e-learning content-based recommender system

One of the anticipated challenges of todays e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose...

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Main Authors: Ghauth, K.I., Abdullah, N.A.
Format: Article
Published: 2011
Subjects:
T Technology (General)
Online Access:http://eprints.um.edu.my/4700/
http://www.ifets.info/journals/14_2/21.pdf
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spelling my.um.eprints.47002013-02-07T00:25:50Z http://eprints.um.edu.my/4700/ The effect of incorporating good learners' ratings in e-learning content-based recommender system Ghauth, K.I. Abdullah, N.A. T Technology (General) One of the anticipated challenges of todays e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose an e-learning recommender system based on content-based filtering and good learnersratings, and ii) to compare the proposed e-learning recommender system with exiting e-learning recommender systems that use both collaborative filtering and content-based filtering techniques in terms of system accuracy and students performance. The results obtained from the test data show that the proposed e-learning recommender system outperforms existing e-learning recommender systems that use collaborative filtering and content-based filtering techniques with respect to system accuracy of about 83.28 and 48.58, respectively. The results further show that the learners performance is increased by at least 12.16 when the students use the e-learning with the proposed recommender system as compared to other recommendation techniques. 2011 Article PeerReviewed Ghauth, K.I. and Abdullah, N.A. (2011) The effect of incorporating good learners' ratings in e-learning content-based recommender system. Educational Technology & Society, 14 (2). pp. 248-257. ISSN 1436-4522 http://www.ifets.info/journals/14_2/21.pdf
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic T Technology (General)
spellingShingle T Technology (General)
Ghauth, K.I.
Abdullah, N.A.
The effect of incorporating good learners' ratings in e-learning content-based recommender system
description One of the anticipated challenges of todays e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose an e-learning recommender system based on content-based filtering and good learnersratings, and ii) to compare the proposed e-learning recommender system with exiting e-learning recommender systems that use both collaborative filtering and content-based filtering techniques in terms of system accuracy and students performance. The results obtained from the test data show that the proposed e-learning recommender system outperforms existing e-learning recommender systems that use collaborative filtering and content-based filtering techniques with respect to system accuracy of about 83.28 and 48.58, respectively. The results further show that the learners performance is increased by at least 12.16 when the students use the e-learning with the proposed recommender system as compared to other recommendation techniques.
format Article
author Ghauth, K.I.
Abdullah, N.A.
author_facet Ghauth, K.I.
Abdullah, N.A.
author_sort Ghauth, K.I.
title The effect of incorporating good learners' ratings in e-learning content-based recommender system
title_short The effect of incorporating good learners' ratings in e-learning content-based recommender system
title_full The effect of incorporating good learners' ratings in e-learning content-based recommender system
title_fullStr The effect of incorporating good learners' ratings in e-learning content-based recommender system
title_full_unstemmed The effect of incorporating good learners' ratings in e-learning content-based recommender system
title_sort effect of incorporating good learners' ratings in e-learning content-based recommender system
publishDate 2011
url http://eprints.um.edu.my/4700/
http://www.ifets.info/journals/14_2/21.pdf
_version_ 1643687398936150016
score 13.211869

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