期刊名称:Journal of Theoretical and Applied Information Technology
印刷版ISSN:1992-8645
电子版ISSN:1817-3195
出版年度:2014
卷号:69
期号:1
出版社:Journal of Theoretical and Applied
摘要:Current e-learning systems present instruction in a "one-size-fits-all" style that provides the same learning resources to each student. In fact, each learner has a different learning style or different individual needs, so many learners may have difficulty gathering the most suitable learning resources for themselves. To help solve this problem, this paper presents a learning resources recommendation framework using rule-based reasoning approach which allows teachers and learners to create learning resources in the form of learning objects based on ontology for searching and reusing learning objects. This paper presents the experiment of recommendation system to provide learning resources that are appropriate to the learning style of each student by designing learner profiles and learning styles in the form of ontology. This system expresses the Web Ontology Language. (OWL), and relies on rule-based reasoning engine to identify the optimized learning resources. With the evaluation of experiments, the results showed that the learning resources recommendation based on rule-based approach retrieved the strong selection of the relevant resources.