Educational data mining approaches, challenges and goals: A review

There are various methods in educational data mining to explore data in an educational context as it is an emerging research area. To study educational questions for the analysis of educational data, it uses computational approaches. Since last few years there is an increment in the acceptance rate of learning management systems in education. To study the behavior and performance of the students, various data mining techniques like clustering, prediction and relationship mining can be used with educational data. The motive behind this study is to review unlike techniques and approaches of data mining in an educational context for the structuring a new environment so that academic predictions can be made.