An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system

This paper introduces a novel architecture for an e-learning recommender system which is based on good learners' average ratings strategy and content-based filtering approach. The feasibility of the proposed system is conducted by comparing its performance against other recommender systems and...

Full description

Saved in:
Bibliographic Details
Main Authors: Ghauth, K.I., Abdullah, N.A.
Format: Article
Published: 2010
Subjects:
Online Access:http://eprints.um.edu.my/4696/
http://ejum.fsktm.um.edu.my/article/973.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.4696
record_format eprints
spelling my.um.eprints.46962013-02-07T01:18:41Z http://eprints.um.edu.my/4696/ An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system Ghauth, K.I. Abdullah, N.A. T Technology (General) This paper introduces a novel architecture for an e-learning recommender system which is based on good learners' average ratings strategy and content-based filtering approach. The feasibility of the proposed system is conducted by comparing its performance against other recommender systems and an adaptive hypermedia system in order to measure the effectiveness of the proposed strategy in improving students' learning performance. Experimental result has shown that the recommender strategy can improve students' performance by at least 12.16, as compared to other recommendation techniques. A performance evaluation with an adaptive hypermedia system that uses knowledge level as its adaptation feature also showed a positive increase of 14.99 in terms of students' performance. 2010 Article PeerReviewed Ghauth, K.I. and Abdullah, N.A. (2010) An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system. Malaysian Journal of Computer Science, 23 (3). pp. 141-152. ISSN 0127-9084 http://ejum.fsktm.um.edu.my/article/973.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.
An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system
description This paper introduces a novel architecture for an e-learning recommender system which is based on good learners' average ratings strategy and content-based filtering approach. The feasibility of the proposed system is conducted by comparing its performance against other recommender systems and an adaptive hypermedia system in order to measure the effectiveness of the proposed strategy in improving students' learning performance. Experimental result has shown that the recommender strategy can improve students' performance by at least 12.16, as compared to other recommendation techniques. A performance evaluation with an adaptive hypermedia system that uses knowledge level as its adaptation feature also showed a positive increase of 14.99 in terms of students' performance.
format Article
author Ghauth, K.I.
Abdullah, N.A.
author_facet Ghauth, K.I.
Abdullah, N.A.
author_sort Ghauth, K.I.
title An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system
title_short An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system
title_full An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system
title_fullStr An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system
title_full_unstemmed An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system
title_sort empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system
publishDate 2010
url http://eprints.um.edu.my/4696/
http://ejum.fsktm.um.edu.my/article/973.pdf
_version_ 1643687397734481920
score 13.211869