Citation

Albatayneh, Naji Ahmad and Ghauth, Khairil Imran and Chua, Fang Fang (2018) Utilizing Learners' Negative Ratings in Semantic Content-based Recommender System for e-Learning Forum. Educational Technology & Society, 21 (1). pp. 112-125. ISSN 1436-4522, 1176-3647

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Abstract

Nowadays, most of e-learning systems embody online discussion forums as a medium for collaborative learning that supports knowledge sharing and information exchanging between learners. The exponential growth of the available shared information in e-learning online discussion forums has caused a difficulty for learners in discovering interesting information. This paper introduces a novel recommendation architecture that is able to recommend interesting post messages to the learners in an e-learning online discussion forum based on a semantic content-based filtering and learners’ negative ratings. We evaluated the proposed elearning recommender system against exiting e-learning recommender systems that use similar filtering techniques in terms of recommendation accuracy and learners’ performance. The obtained experimental results show that the proposed e-learning recommender system outperforms other similar e-learning recommender systems that use non-semantic content-based filtering technique (CB), non-semantic contentbased filtering technique with learners’ negative ratings (CB-NR), semantic content-based filtering technique (SCB), with respect to system accuracy of about 57%, 28%, and 25%, respectively. Furthermore, the obtained results also show that the learning performance has been increased by at least 9.84% for the learners whom are supported by recommendations based on the proposed technique as compared to other similar recommendation techniques.

Item Type:	Article
Uncontrolled Keywords:	Latent structure analysis, E-learning recommender system, E-learning discussion forum, Content-based filtering, Learners’ negative ratings, Latent semantic analysis
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	03 Dec 2020 08:57
Last Modified:	03 Dec 2020 08:57
URII:	http://shdl.mmu.edu.my/id/eprint/7498

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