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ERIC Number: EJ1013628
Record Type: Journal
Publication Date: 2013
Pages: 16
Abstractor: As Provided
ISSN: ISSN-1436-4522
Effective Trust-Aware E-learning Recommender System Based on Learning Styles and Knowledge Levels
Dwivedi, Pragya; Bharadwaj, Kamal K.
Educational Technology & Society, v16 n4 p201-216 2013
In the age of information explosion, e-learning recommender systems (ELRSs) have emerged as the most essential tool to deliver personalized learning resources to learners. Due to enormous amount of information on the web, learner faces problem in searching right information. ELRSs deal with the problem of information overload effectively and provide recommendations by taking into consideration the learners' preferences such as learning styles, goals, knowledge levels, learning paths etc. In this paper, we propose a weighted hybrid scheme to recommend right learning resources to a learner by incorporating both the learners' learning styles (LSs) and the knowledge levels (KLs). Further, by elicitation of trust values among learners, we develop a scheme such that for a given active learner, the trustworthy learners having greater knowledge and similar learning style patterns as that of the active learner have greater weightage in recommendation strategy. Experimental results are presented to demonstrate the effectiveness of the proposed scheme. (Contains 7 tables and 8 figures.)
International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A