Ontological approach in knowledge based recommender system to develop the quality of e-learning system

Saman Shishehchi, Seyed Yashar Banihashem, Nor Azan Mat Zin, Shahrul Azman Mohd Noah

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The rapid growth of Internet technology and the explosion of educational resources, show the increasing importance of e-learning systems. Despite the importance of these systems, they suffer from the enormous learning materials. In recent years, recommender systems appeared to improve the quality of learning. Such systems were used in learning systems to provide the facilities during the learning process and help learners with a more accurate learning. Different recommendation techniques such as collaborative filtering, content based and the hybrid filtering were employed for e-learning domain. In addition to the importance of learner's needs in the learning process, also the training method for recommended learning materials should be important in this learning process. This paper aims to develop the knowledge based personalized e-learning recommendation system based on ontology. Furthermore, this study discusses about appropriate recommendation technique based on learning system characteristics. The first significant property of this study is the common ontology for learner and learner materials. The second property is referring to the developed pedagogy pattern for this recommendation. The learning materials filter according to the prerequisites of the learner request and learner's knowledge. Learner can ask any activities such as example or description, by using graphical user interface.

Original languageEnglish
Pages (from-to)115-123
Number of pages9
JournalAustralian Journal of Basic and Applied Sciences
Volume6
Issue number2
Publication statusPublished - Feb 2012

Fingerprint

Recommender systems
Learning systems
Ontology
Collaborative filtering
Graphical user interfaces
Explosions
Internet

Keywords

  • E-learning
  • Knowledge based recommendation
  • Ontology
  • Pedagogy
  • Recommender system

ASJC Scopus subject areas

  • General

Cite this

Ontological approach in knowledge based recommender system to develop the quality of e-learning system. / Shishehchi, Saman; Banihashem, Seyed Yashar; Mat Zin, Nor Azan; Mohd Noah, Shahrul Azman.

In: Australian Journal of Basic and Applied Sciences, Vol. 6, No. 2, 02.2012, p. 115-123.

Research output: Contribution to journalArticle

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