Personalized Distance Education System Based on Data Mining

Zhimin Qi


To improve the poor intelligence and personalized service of the learning system in current distance education and training, a personalized learning system model based on data mining technology was proposed. Then, the method of applying the decision tree and BP neural network algorithm to de-sign the system was described in detail. Finally, the core module of the per-sonalized distance education system combined with Web was designed. The personalized function module introduced how the user operates the intelli-gent Web reasoning in the module according to the user input learning in-formation and gave the most matching learning materials. Finally, the appli-cation results showed that the system greatly improved the personalized ser-vice module.


learning system; data mining technology; BP neural network algorithm

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Copyright (c) 2018 Zhimin Qi

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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