  As an interdisciplinary discipline, data mining (DM) is popular in education
area especially when examining students' learning performances. It focuses on
analyzing educational related data to develop models for improving learners'
learning experiences and enhancing institutional effectiveness. Therefore, DM
does help education institutions provide high-quality education for its
learners. Applying data mining in education also known as educational data
mining (EDM), which enables to better understand how students learn and
identify how improve educational outcomes. Present paper is designed to justify
the capabilities of data mining approaches in the filed of education. The
latest trends on EDM research are introduced in this review. Several specific
algorithms, methods, applications and gaps in the current literature and future
insights are discussed here.
