Recommender systems use algorithms to provide users with product or service
recommendations. Recently, these systems have been using machine learning algorithms …

This review pursues a twofold goal, the first is to preserve and enhance the chronicles of
recent educational data mining (EDM) advances development; the second is to organize …

Early prediction of school dropout is a serious problem in education, but it is not an easy
issue to resolve. On the one hand, there are many factors that can influence student …

The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

As higher education diversifies its delivery modes, our ability to use the predictive and
analytical power of educational data mining (EDM) to understand students' learning …

The ability to predict what university course a student may select has important quality
assurance and economic imperatives. The capacity to determine future course load and …

Machine learning is emerging nowadays as an important tool for decision support in many
areas of research. In the field of education, both educational organizations and students are …

In this research we applied classification models for prediction of students' performance, and
cluster models for grouping students based on their cognitive styles in e-learning …

According to research findings from all over the world, textbooks play an important role for
teachers in the choice of methods, content and educational goals. However, the open …

Project-based learning (PBL) is an active learning methodology focused on developing both
soft and hard skills by solving real-world problems. In PBL, teachers act as facilitators while …