Learner Modelling Using Semantic Web Technology

Publish Year: 1393
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_IJOCIT-2-1_005

تاریخ نمایه سازی: 16 فروردین 1395

Abstract:

Nowadays, e-learning needs to be more adaptive and flexible to support learners. However, most current e-learning systems provide the same content for learners with different requirements. They ignore learners’ differences in for example learning styles, cognitive styles, knowledge levels and backgrounds. The problem of delivering the same content to all learners can be addressed by adapting the content to each individual’s needs. This paper presents a novel ontology-based approach to represent learner’s profile in an attempt to get closer to a personalized e-Learning system

Authors

Maryam Yarandi

Department of Computing, Civil Aviation Technology College Tehran

Seyed Ali Hosseini

Department of Informatics Kings College London

Seyed Abbas Hosseini

Work Based Learning Research Centre Middlesex University London