Earticle

초록

영어

This paper puts forward the methods on MOOCs knowledge organization and discovery, adopts the method of Formal Concept Analysis, uses concept lattice as the support tool, and selects the data from “Coursera” to cluster the courses and mine the inner knowledge association among courses, so as to discover the connotative knowledge correlation among MOOCs on the same topic and the structure characteristics among courses. Finally, based on the supergraph of the MOOCs concept lattice, the paper puts forward the visualization navigation method of the courses and provides flexible guiding principles for the learners whose knowledge structure is unusual in various fields when choosing the courses, so as to promote the development and improvement of the MOOCs websites by the knowledge organization and knowledge discovery technology.

목차

Abstract
 1. Introduction
 2. Related Research
 3. Formal Description of the Knowledge Discovery of the MOOCs Based on Concept Lattice
  3.1 Clustering of MOOCs Concept Lattice and Knowledge Association Rules Mining
  3.2 Technical Route
  3.3 MOOCs Concept Lattice Construction
  3.4 Knowledge Clustering based on the MOOCs Concept Lattice
  3.5 Mining the Association Rules of MOOCs Knowledge Units
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Junfeng Gao [ Beihua University, Jilin City, China ]
• Jingye Qu [ Beihua University, Jilin City, China ] Corresponding author.
• Zhong Xin [ Jilin Technology College of Electronic Information, Jilin City, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605