Personalized Distance Learning System based on Sequence Analysis Algorithm

Authors

  • Ji-chun Zhao Beijing Academy of Agriculture and Forestry Sciences Institute of Agricultural Information, Chinese Academy of Agricultural Sciences
  • Shi-hong Liu Institute of Agricultural Information, Chinese Academy of Agricultural Sciences
  • Jun-feng Zhang Beijing Academy of Agriculture and Forestry Sciences The Research Center of Beijing Engineering technology for Rural Remote Information Services

DOI:

https://doi.org/10.3991/ijoe.v11i7.4764

Keywords:

Distance Learning, Sequence Analysis, Personalized Learning

Abstract


Personalized learning system can provide users with the most valuable learning resource to them through intelligent recommendation models and algorithms. This paper proposed the classical sequence analysis algorithms, and the Prefixspan algorithm is validated through distance learning platform data. In the event that the minimum support threshold is between 0.003 to 0.004%, test data shows that the performance of the algorithm's accuracy rate is relatively stable and the recommendation effect is satisfactory.

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Published

2015-08-31

How to Cite

Zhao, J.- chun, Liu, S.- hong, & Zhang, J.- feng. (2015). Personalized Distance Learning System based on Sequence Analysis Algorithm. International Journal of Online and Biomedical Engineering (iJOE), 11(7), pp. 33–36. https://doi.org/10.3991/ijoe.v11i7.4764

Issue

Vol. 11 No. 7 (2015): Special Issue MESI 2014

Section

Papers