Performance analysis of learning outcomes is a system that will aim for excellence at all
levels and dimensions of the student's field of interest. This paper suggests a …

Educational Data Mining (EDM) is an emerging multidisciplinary research area, in which
data mining techniques are deployed to extract knowledge from educational information …

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 …

Abstract Educational Data Mining (EDM) is a new emerging field that discovers knowledge
from data originating from educational environments. It has a focus on different aspects of …

Data mining is the process of extracting useful information from a huge amount of data. One
of the most common applications of data mining is the use of different algorithms and tools to …

The prediction of students' academic performance is a subset of Educational Data Mining
(EDM) which deals with the large-scale data gathered from an education system. EDM aims …

Student academic performance at universities is crucial for education management systems.
Many actions and decisions are made based on it, specifically the enrollment process …

Educational data mining (EDM) applies data mining techniques to resolve educational
managing problems. This paper proposes a general process of EDM for elective course …

To help solve the ongoing problem of student retention, new expected performance-
prediction techniques are needed to facilitate degree planning and determine who might be …

How to choose the most appropriate courses to study throughout the learning process
remains a question interested in by many students. Students often choose suitable courses …