ABSTRACT
E-learning is one of the most needed research field in educational mining. It offers many interactive features to make the learning process easier. Educational data analyzes techniques helps the teachers to make the learning environment effective by understanding student’s learning difficulties. Generally, learning difficulties of students can be identified in many ways such as, analyzing students learning behaviors, academic performance and assessment evaluation, etc. So, the main objective of the review article is to analyzes various education mining techniques and analyzes recent trends on students’ performance analysis. Moreover, this review helps new researches to identify the learning difficulties in e-learning platform, identifies recent student’s performance monitoring techniques. It also helps the new researchers to identify suitable learning algorithms to develop student evaluation systems.
