Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …

Recently, to provide the better education for students, there are a lot of researchers that
discover the latent characteristics of students for predicting their performance. However, few …

In recent decades, predicting the performance of students in the academic field has revealed
the attention by researchers for enhancing the weaknesses and provides support for future …

As smart education is continuously deepened in higher education, personalized learning
resource recommendation has developed into a significant research field of smart learning …

To date, students' educational data is still one of the most importance resources in
institutions of higher learning. One way to achieving qualitative education standard by …

This research proposes a two-stage user-based collaborative filtering process using an
artificial immune system for the prediction of student grades, along with a filter for professor …