Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

Fifty years ago there were just a handful of universities across the globe that could provide
for specialized educational courses. Today Universities are generating not only graduates …

An early warning system can help to identify at-risk students, or predict student learning
performance by analyzing learning portfolios recorded in a learning management system …

This paper shows how web usage mining can be applied in e‐learning systems in order to
predict the marks that university students will obtain in the final exam of a course. We have …

This chapter aims to provide an up-to-date snapshot of the current state of research and
applications of Data Mining methods in e-learning. The cross-fertilization of both areas is still …

Learning Analytics is an area of Information Systems research that integrates data analytics
and data mining techniques with the aim of enhancing knowledge management and …

In the past few years, Iranian universities have embarked to use e-learning tools and
technologies to extend and improve their educational services. After a few years of …

Prediction of students' performance is one of the most explored issues in educational data
mining. To predict if students will achieve the outcomes of the subject based on the previous …

Educational Data Mining (EDM) is the application of data mining methods in the educational
domain. In the EDM field, we see mixed data (ie, text and number data types). Grouping or …

University students' retention and performance in higher education are important issues for
educational institutions, educators, and students. Educational data mining is focused on …