Similarity contents selection mechanism for learner's device using delivery context ontology and rules

  • Lee, Yoonsoo
  • Doh, Hyunoh
  • Choi, Haanwoong
  • Cha, Jaehyuk
Citations

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초록

Nowadays, learners use not only PC but also their own mobile devices for e-learning. For this, author should make various versions of learning contents for device specification and learning management system provides suitable contents for device specification. To select suitable contents for learner's devices, previous researches propose contents selection method that describe suitability score for each attributes and it is hard to express author's intention. Also, it is hard to select learning contents that reflect changed user preference during learning time. In this research, we add user preference on the contents selection method to select suitable contents among various versions contents that has same learning context. Also we use ontology and rules for description of profiles and various intentions. We prove proposed method has similar search performance with previous method.

키워드

ComponentContents selectionRulesU-learningComponentContents selectionContext ontologyDevice specificationLearning contentsLearning contextLearning management systemLearning timeRulesSearch performanceSelection mechanismSelection methodsU-learningMobile devicesMulti agent systemsOntologySpecificationsLearning systems
제목
Similarity contents selection mechanism for learner's device using delivery context ontology and rules
저자
Lee, YoonsooDoh, HyunohChoi, HaanwoongCha, Jaehyuk
DOI
10.1109/ICALT.2010.155
발행일
2010-09
유형
Conference Paper
저널명
Proceedings - 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010
페이지
546 ~ 548