Personalised Instruction E-Learning Model Based On Knowledge Domain

  • Authors:

  • X. H. Tan;H. Luo;R. Tong;G. Chen;R. M. Shen

  • Affiliations:

  • Network Education College, Shanghai Jiao Tong University, Shanghai, China;Network Education College, Shanghai Jiao Tong University, Shanghai, China;Network Education College, Shanghai Jiao Tong University, Shanghai, China;Network Education College, Shanghai Jiao Tong University, Shanghai, China;Network Education College, Shanghai Jiao Tong University, Shanghai, China

  • Venue:
  • Journal of Integrated Design & Process Science
  • Year:
  • 2008

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Abstract

The practice of E-learning in China has long suffered from its large scale students with different entry level and requirements without appropriate online instruction. Many Learning Content Manager Systems provide same learning content for different students. In this paper, we present a personalized E-learning instruction model based on knowledge domain. By applying data mining techniques on the analysis of e-learners' background, learning activities, this model on one side provides individualized learning path and resources to different students according to their levels and requirements. On the other side, the instructors can also adjust the teaching schedule and emphases according to the analytical results. As a result, the learners can not only get personalized learning contents but also individual instruction online. A Structured Knowledge Domain plays a key role in the model which is used to organize all the learning contents. The proposed model was implemented in a real large scale class of the Network College of Shanghai Jiao Tong University and was proved to be effective.