Personalized Distance Education System Based on Data Mining

• Main Author: Zhimin Qi
• Format: Article
• Language: English
• Published: Kassel University Press 2018-06-01
• Series: International Journal of Emerging Technologies in Learning (iJET)
• Subjects: learning system; data mining technology; BP neural network algorithm
• Online Access: http://online-journals.org/index.php/i-jet/article/view/8810

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.