Open Access Open Access  Restricted Access Subscription Access

Provide a Method for Increasing the Efficiency of Learning Management Systems using Educational Data Mining


Affiliations
1 Department of Computer Engineering and Information Technology, Payam-e-Noor University, Tehran, Iran, Islamic Republic of
 

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.

Keywords

Association Rules, Classification, Clustering, Educational Data Mining, Management of Virtual Courses and Students
User

Abstract Views: 144

PDF Views: 0




  • Provide a Method for Increasing the Efficiency of Learning Management Systems using Educational Data Mining

Abstract Views: 144  |  PDF Views: 0

Authors

Shahrbanoo Malvandi
Department of Computer Engineering and Information Technology, Payam-e-Noor University, Tehran, Iran, Islamic Republic of
Ahmad Farahi
Department of Computer Engineering and Information Technology, Payam-e-Noor University, Tehran, Iran, Islamic Republic of

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.

Keywords


Association Rules, Classification, Clustering, Educational Data Mining, Management of Virtual Courses and Students



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i28%2F121507