Personalized Distance Learning System based on Sequence Analysis Algorithm

International Journal of Online Engineering

Jun-feng Zhang³  Shi-hong Liu²  Ji-chun Zhao¹ 

[1] Beijing Academy of Agriculture and Forestry SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural SciencesBeijing Academy of Agriculture and Forestry SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural SciencesBeijing Academy of Agriculture and Forestry SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural Sciences;Institute of Agricultural Information, Chinese Academy of Agricultural SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural SciencesInstitute of Agricultural Information, Chinese Academy of Agricultural Sciences;Beijing Academy of Agriculture and Forestry SciencesThe Research Center of Beijing Engineering technology for Rural Remote Information ServicesBeijing Academy of Agriculture and Forestry SciencesThe Research Center of Beijing Engineering technology for Rural Remote Information ServicesBeijing Academy of Agriculture and Forestry SciencesThe Research Center of Beijing Engineering technology for Rural Remote Information Services

关键词: Distance Learning;    Sequence Analysis;    Personalized Learning;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

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.

【 授权许可】

Unknown