Abstract

In recent years, data mining approach has been used for optimizing the mass of information on educational organizations and extracting knowledge from these data. This approach develops knowledge discovery techniques from the data in the learning environment, especially from the university students. Applying data mining techniques on the educational data will result in the extraction of useful information and knowledge from them. This information then could be used to improve the learning process and increase the efficiency and performance of students. Therefore, the purpose of this research is to provide a method for increasing the efficiency of learning management system using educational data mining. To this end, a dataset was collected from the students in an E-learning center and the techniques such as classification, clustering and association rules mining were implemented on the specified parameters. Finally, the obtained results are used to improve the management of virtual education systems.

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