Personalized Distance Education System Based on Data Mining
Zhimin Qi, Jilin Normal University, Jilin, China
iJET Volume 13, Number 7, ISSN 1863-0383 Publisher: International Association of Online Engineering, Kassel, Germany
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.
Qi, Z. (2018). Personalized Distance Education System Based on Data Mining. International Journal of Emerging Technologies in Learning (iJET), 13(7), 4-16. Kassel, Germany: International Association of Online Engineering.