Smart Online E-Learning Platform for Students using Educational Data Mining

The focal point of this examination was to utilize Educational Data Mining (EDM) methods to direct a quantitative investigation of understudy's communication with an e-learning framework through teacher drove non-evaluated and reviewed courses. This activity is valuable for building up a rule for a progression of online short courses for them. A gathering of understudy's entrance conduct in an e-learning framework was dissected and they were assembled by their course get to log records. The outcome indicated that the distinction in the learning situations could change the online access conduct of an understudy gathering. Enormous Data Technology is utilized here for the unstructured information resembles recordings. The outcomes show that the understudies have a decent mechanical competency, have moderate competency in collaboration with learning substance, and absence of communication abilities with their learning network. A proposal to improve understudies' readiness in online cooperative learning is introduced.