Analysis of e-learning in data mining — A dreamed vision for empowering rural students in India

Even in the age of computers and cell phones, students in isolated areas sometimes fail to recognize the world which is literally right at their fingertips. To get the most out of online and other distance learning courses, students must be independent, self-motivated and not have a great need for the social setting of a traditional classroom. Educators say. "Not every student is an online learner," In this paper, the information which provided here can help the teachers to manage their classes better and to provide proactive feedback to the students by adopting e-learning system. Basically e-learning is a new way of providing knowledge to people to interact with web based systems which is need of current world. e-learning based systems received tremendous popularity in the world since this decade. It is common that teachers make simple statistical analysis on the results of the students at the end of an exam or a course, and this is useful for the evaluation of that course. However a more powerful use of statistics is used to modify the methodology of learning personalizing contents and methods for groups of students with similar skills. In this paper, to make a realistic personalization of learning, data mining techniques were used, which helps to manage big amounts of information mainly composed by contents, skills, tools, grades and students. In this study, we have concentrated on the application of data mining in an educational environment.