Designing a semantic bliki system to support different types of knowledge and adaptive learning

  • Authors:

  • Shiu-Li Huang;Chia-Wei Yang

  • Affiliations:

  • Department of Information Management, Ming Chuan University, No. 5, De Ming Rd., Gueishan Township, Taoyuan County 333, Taiwan, ROC;Department of Information Management, Ming Chuan University, No. 5, De Ming Rd., Gueishan Township, Taoyuan County 333, Taiwan, ROC

  • Venue:
  • Computers & Education
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Though blogs and wikis have been used to support knowledge management and e-learning, existing blogs and wikis cannot support different types of knowledge and adaptive learning. A case in point, types of knowledge vary greatly in category and viewpoints. Additionally, adaptive learning is crucial to improving one's learning performance. This study aims to design a semantic bliki system to tackle such issues. To support various types of knowledge, this study has developed a new social software called ''bliki'' that combines the advantages of blogs and wikis. This bliki system also applies Semantic Web technology to organize an ontology and a variety of knowledge types. To aid adaptive learning, a function called ''Book'' is provided to enable learners to arrange personalized learning goals and paths. The learning contents and their sequences and difficulty levels can be specified according to learners' metacognitive knowledge and collaborative activities. An experiment is conducted to evaluate this system and the experimental results show that this system is able to comprehend various types of knowledge and to improve learners' learning performance.