Abstract
Now a days, online learning systems increase student’sability to learn on their own. The use of Data Mining in educationsystem has become a major research area, and it is used to collectinformation efficiently from electronic learning systems. Theeducational systems are facing various problems such as staticdelivery of the material; identification of student needs and checkingthe quality of student interaction level. This paper surveyseducational data mining approaches such as pattern mining,clustering, classification, and artificial intelligence. The goal of thispaper is to discover efficient knowledge from web-based learningsystems. This work provides particular web-based courses, well-known adaptive environment, and intelligent learning systems. Thecomparison of electronic learning systems and detailed analysisenable students to improve the learning experience. This paperpresents the previously performed research related studies,techniques that can be used to improve the student knowledge andacademic progress in an E-Learning system.